# Vstorm > Vstorm is a generative AI & Python web development company. --- ## Pages - [Agentic AI in Life Sciences](https://vstorm.co/agentic-ai-in-life-sciences/): We help drive ROI through hyper-personalization, hyper-automation and enhanced decision-making processes with custom AI and LLM-based software - [Die Pragmatik der KI](https://vstorm.co/die-pragmatik-der-ki/): - [Pragmatics of Agentic AI](https://vstorm.co/pragmatics-of-ai-workshop/): - [1-pager VSA](https://vstorm.co/1-pager-vsa/): - [Fill out the form](https://vstorm.co/fill-out-the-form/): - [Schedule a meeting](https://vstorm.co/schedule-a-meeting/): - [PyTorch development](https://vstorm.co/pytorch-development/): Our experts provide custom AI chatbot development services to enhance automation, personalization, and decision-making. - [ML Ops service](https://vstorm.co/ml-ops-service/): Expert ML Ops services: optimize, deploy, and manage Machine Learning models for scalability, efficiency, and reliability. - [LLM Ops service](https://vstorm.co/llm-ops-service/): Expert LLM Ops services: optimize, scale, and manage Large Language Models for efficiency and reliability. - [AI Chatbot development](https://vstorm.co/ai-chatbot-development/): Our experts provide custom AI chatbot development services to enhance automation, personalization, and decision-making. - [RAG Development Service](https://vstorm.co/rag-development-service/): Our experts provide RAG development services to enhance automation, personalization, and decision-making.. - [Large Language Models Development](https://vstorm.co/large-language-models-development/): We are helping businesse with Large Language Model development services to enhance productivity, efficiency, and user engagement. - [Custom LLM-based software](https://vstorm.co/custom-llm-based-software/): Custom LLM solutions by Vstorm: scalable, secure, and tailored to your business needs. Check out our LLM service - [AI Consultancy in New York](https://vstorm.co/ai-consultancy-in-new-york/): Vstorm specializes in AI consultancy in New York, delivering AI development solutions to drive business growth for NYC companies. - [AI Consultancy](https://vstorm.co/ai-consultancy/): Vstorm, one of the top AI and LLM companies, provides artificial intelligence and machine learning consulting services across all industries. - [LlamaIndex Development Company](https://vstorm.co/llamaindex-development-company/): Vstorm is a LlamaIndex development company. We empower clients to grow through AI expertise and technological & strategic partnerships. - [Universe | Vstorm](https://vstorm.co/universe/): Here's a Vstorm 's list of the technology used in AI and LLM-based projects. The latest LLMs solutions for business. - [AI Vstorm Book](https://vstorm.co/the-llm-book/): Perfect for tech enthusiasts and professionals, this book provides a clear understanding of LLMs and their impact on various fields. - [AI Community Vstorm](https://vstorm.co/ai-community/): Join for a dynamic online forum where AI aficionados share insights, resources, and expertise, supported by Vstorm - [Home](https://vstorm.co/): We help drive ROI through hyper-personalization, hyper-automation and enhanced decision-making processes with custom AI and LLM-based software - [LangChain Development Company](https://vstorm.co/langchain-development-company/): Vstorm is an Langchain development company. We empower Clients to grow through Ai expertise and technological & strategic partnerships. - [NLP Development Company](https://vstorm.co/nlp-development-company/): Vstorm is a NLP development company. We empower Startups and SMBs to scale through AI and technological & strategic partnerships. - [Berlin](https://vstorm.co/generative-ai-development-company/berlin/): Berlin may be the beating heart of Europe's tech innovations, but when it comes to maximizing efficiency and value in AI development, casting the net slightly further to Poland's Vstorm.co proves to be a strategic move. - [AI Business Assistance](https://vstorm.co/ai-business-assistance/): Our AI Business Assistance supports multiple languages, broadening your business's reach and ensuring communication with diverse customers. - [AI Chatbot](https://vstorm.co/ai-chatbot/): Our AI chatbot is more than just a virtual assistant. It's a complete customer service solution - [AI Content personalization](https://vstorm.co/ai-content-personalization/): While startups should continue to embrace AI content personalization tools, it is important to remember the value of human expertise. - [AI Customer Support: The Future of Customer Engagement](https://vstorm.co/ai-customer-support/): AI customer support represents a significant shift in the way companies interact with their customers. - [AI Documentation Automation](https://vstorm.co/ai-documentation-automation/): AI Documentation Automation represents a significant shift in the way we handle and process documents. - [AI Information Extraction: Revolutionizing Data Processing](https://vstorm.co/ai-information-extraction-revolutionizing-data-processing/): AI Information Extraction represents a significant shift in how we handle and process data. - [AI Semantic Translation: The Bridge Between Languages](https://vstorm.co/ai-semantic-translation-the-bridge-between-languages/): AI Semantic Translation represents a significant leap forward in machine translation technology, enabling more nuanced, contextually appropriate translations. - [AI Semantic search: The Future of Information Retrieval](https://vstorm.co/ai-semantic-search-the-future-of-information-retrieval/): AI Semantic Search represents a step forward in our ability to find, analyze, and use information, delivering search results that are more accurate, contextually relevant, and useful - [Stable Diffusion](https://vstorm.co/stable-diffusion/): Unlock the power of Stable Diffusion for your startup or SMB. Streamline content generation, enhance visuals, and drive growth. - [GPT-4 Customization](https://vstorm.co/gpt-4-customization/): Boost your business with Chat GPT-4 customization services. Enhance customer experiences and streamline operations. Contact us now! - [Explore the Future with Our AI Model Training Services](https://vstorm.co/ai-model-training/): Discover how AI Model Training empowers startups and SMBs to unlock the power of artificial intelligence. Learn about the process, benefits, and how to partner with AI experts for optimal results. - [Prompt Design & Engineering: Transforming Ideas into Action](https://vstorm.co/prompt-design-engineering/): Discover Prompt design & engineering service in Vstorm. Custom-made prompts, expert guidance, and dedicated support to transform ideas. - [AI Application Discovery: A Pathway to Innovation](https://vstorm.co/ai-application-discovery/): Discover the potential of Geenrative AI for your startup with our AI application discovery service and drive your digital potential - [AI Proof of Concept Delivery for startups](https://vstorm.co/ai-proof-of-concept/): Understand the importance of an AI PoC, its steps, and its ability to prove the viability of your AI concept. - [Text-to-Image Generation: Visual Content Creation for SMBs and Startups](https://vstorm.co/text-to-image/): Unlock the potential of text-to-image technology for startups and SMBs. AI's role in creating cost-effective visuals for your business. - [Large Language Models (LLMs) - Unlocking the potential](https://vstorm.co/large-language-models/): In the simplest terms, Large Language Models (LLMs) are advanced AI models that excel in understanding and generating human-like text. - [Generative AI Development Company](https://vstorm.co/generative-ai-development-company/): Vstorm is a generative AI development company. We empower Startups and SMBs to scale through technological & strategic partnerships. - [AI Newsletter](https://vstorm.co/ai-newsletter/): A dose of news and insights on technology and innovation. Created by CEO and Founder of Vstorm - Antoni Kozelski . Subscribe now! - [Venture tech builder](https://vstorm.co/a-tech-driven-venture-builder/): Experience Vstorm as a venture tech builder. Harness generative AI and MVP development to build and scale startups, driving innovation. - [Team extension](https://vstorm.co/team-extension/): Explore Vstorm's team extension services for startups. Scale your team with top talent in generative AI and MVP development, accelerating your startup's growth. - [Web Product Development](https://vstorm.co/web-product-development/): Vstorm excels in generative AI-driven web product development for startups. Harness MVP development expertise to unlock your data's potential - [Digital Nomadopedia](https://vstorm.co/digital-nomadopedy/): Embrace the digital nomad lifestyle with VStorm's generative AI and MVP development focus. Collaborate remotely on groundbreaking projects - [Press](https://vstorm.co/press/): Stay updated with VStorm's latest news and contributions to the startup ecosystem. Explore our generative AI and MVP development projects making an impact - [Community](https://vstorm.co/community/): Join the Vstorm community! Share insights, collaborate on generative AI projects, and learn about MVP development in the startup world. - [GDPR Compliance note](https://vstorm.co/gdpr-compliance-note/): Ensure GDPR compliance with VStorm. Trust us to handle data responsibly with our expertise in generative AI and secure MVP development. - [Candidates: Frequently Asked Questions](https://vstorm.co/frequently-asked-questions/): Find answers to frequently asked questions about generative AI, MVP development, and our work with startups. We're here to help clarify your queries! - [Contact us](https://vstorm.co/contact-us/): Got a query about generative AI or MVP development? Want to collaborate with us? Contact Vstorm now, we'd love to hear from you! - [Services](https://vstorm.co/services/): We offers AI services with LLMs and ML, driving growth through innovative solutions and tailored MVP development. - [Career](https://vstorm.co/career/): Start your career with VStorm! Work on groundbreaking generative AI projects, MVP development, and collaborate with promising startups - [Blog](https://vstorm.co/blog/): Dive into our blog for insights on generative AI, MVP development, and the latest trends in the startup ecosystem. Learn, grow, and innovate with us! - [About us](https://vstorm.co/about-us/): Vstorm is a custom AI and LLMs company specializing in Python web development, empowering clients' growth through technological partnerships. - [Case studies](https://vstorm.co/case-studies/): Explore our AI and LLMs case studies, applications, MVP development projects, and how we empower companies to achieve their goals. - [For Candidates](https://vstorm.co/for-candidates/): Explore career opportunities at Vstorm. Join our team and unlock your potential in generative AI, MVP development, and cutting-edge technologies. - [Privacy Policy](https://vstorm.co/privacy-policy/): VStorm values the privacy - [Home](https://vstorm.co/home/): Vstorm is a generative AI development company. We empower clients to grow through technological & strategic partnerships. --- --- ## Posts - [Choosing the right LLM model for the job](https://vstorm.co/choosing-the-right-llm-model-for-the-job/): We get it; it’s hard to decide which large language model should be used for a specific business application. Many... - [Top 10 Custom AI Agent Development Companies](https://vstorm.co/top-10-custom-ai-agent-development-companies/): Explore the top custom AI agent development companies specializing in AI-powered automation, decision-making, and business transformation. - [Off-the-shelf AI platform or Custom AI Agent solution?](https://vstorm.co/off-the-shelf-ai-platform-or-custom-ai-agent-solution/): Key considerations to keep in mind when deciding whether to build a Custom AI Agent or choose an existing SaaS platform. - [Top 10 RAG Development Companies](https://vstorm.co/top-10-rag-development-companies/): List of Top 10 RAG development companies that deliver tailored solutions for your industry and business. An AI and LLMs specjalists - [From idea to Agentic AI solution](https://vstorm.co/how-to-assess-the-value-of-ai-vsa-in-practice/): Learn how Vstorm Solution Assessment (VSA) helps assess AI feasibility, cost, and impact. Download our 1-pager to explore the method! - [Vstorm: Leader in LLMs solutions recognized by Deloitte Technology Fast 50](https://vstorm.co/vstorm-leader-in-llms-solutions-recognized-by-deloitte-technology-fast-50/): Vstorm ranks in Deloitte’s Technology Fast 50, achieving 333% growth as a leader in AI and LLM innovation. Discover our journey and future. - [AI Agentic Workflows: What they offer?](https://vstorm.co/ai-agentic-workflows-what-they-offer/): Discover how AI Agentic Workflows automate tasks and boost business efficiency. Learn their benefits and uses. - [How to implement AI Agents in your company](https://vstorm.co/how-to-implement-ai-agents-in-your-company/): Learn how to implement AI Agents in your company, from use cases to deployment, integration, and scaling best practices. - [Technologies behind AI Agents](https://vstorm.co/technologies-behind-ai-agents/): Discover the key technologies AI agents use to process data, make decisions, and automate tasks efficiently. - [How companies really implement AI and measure success](https://vstorm.co/ai-in-business-separating-facts-from-myths/): Discover how Vstorm’s workshops help businesses implement AI in business, balancing innovation with practical implementation for real impact. - [What are AI Agents?](https://vstorm.co/ai-agents-the-next-step-in-business-automation/): AI agents optimize business automation by enhancing efficiency, decision-making, and collaboration. Learn how they work and drive ROI. - [Data Annotation and its role in AI](https://vstorm.co/data-annotation-and-its-role-in-ai/): Data Annotation is key to AI accuracy. Learn its types, automation balance, quality metrics, and latest trends in AI development. - [RAG: When it makes sense and how to prepare?](https://vstorm.co/rag-when-it-makes-sense-and-how-to-prepare/): Discover when and how to implement RAG to LLMs effectively while avoiding common pitfalls and maximizing its benefits. - [RAG 's Role in Data Privacy and Security for LLMs](https://vstorm.co/rag-s-role-in-data-privacy-and-security-for-llms/): Learn how RAG improves data privacy and security in LLM projects with dynamic retrieval and robust safeguards. - [vLLM: A smarter alternative to traditional LLMs?](https://vstorm.co/vllm-a-smarter-alternative-to-traditional-llms/): Learn how vLLM improves efficiency, reduces costs, and makes LLMs accessible for businesses with practical applications and easy integration. - [When to choose vLLM or RAG?](https://vstorm.co/when-to-choose-vllm-or-rag/): Explore the differences between vLLM and RAG, and understand their best use cases to make informed decisions for your AI-powered solutions. - [PyTorch Developer: How to Choose One?](https://vstorm.co/pytorch-developer-how-to-choose-one/): Choose the best PyTorch developer to build, deploy, and optimize machine learning models tailored to your business needs. - [Top 10 PyTorch Development Companies](https://vstorm.co/top-10-pytorch-development-companies/): Top 10 PyTorch development companies delivering innovative, scalable AI solutions. Featuring industry leader Vstorm. - [What is PyTorch in AI & LLM Projects?](https://vstorm.co/what-is-pytorch-in-ai-llm-projects/): Learn what PyTorch is and how to use it in AI and LLM projects. Discover key features, benefits, and business use cases to enhance your AI - [Data Preparation: The Key to AI and LLM Success](https://vstorm.co/data-preparation-the-key-to-ai-and-llm-success/): Boost AI and LLM performance with effective data preparation. Discover key steps and tools for clean, structured data. - [What is LangGraph and how to use it?](https://vstorm.co/what-is-langgraph-and-how-to-use-it/): LangGraph combines graph structures with LLMs to simplify data analysis, uncover patterns, and deliver actionable insights. - [How to Build a Large Language Models](https://vstorm.co/how-to-build-a-large-language-models/): Learn to build a Large Language Models (LLMs) step-by-step with tools, strategies, and best practices for scalable AI solutions. - [How to Leverage LLM and AI in Telecommunications?](https://vstorm.co/llm-and-ai-in-telecommunications/): AI and LLMs in telecom for customer interactions, network management, and operational efficiency, boosting the telecommunications industry. - [Top 10 MLOps Companies](https://vstorm.co/top-10-mlops-companies/): Top MLOps services companies excelling in deployment, monitoring, and scaling ML models. Vstorm leads the way. - [MLOps vs LLMOps: Key differences for businesses](https://vstorm.co/mlops-vs-llmops/): Discover key differences between MLOps and LLMOps, their benefits for businesses, and how to choose the right AI strategy to drive innovation - [What is MLOps? - Machine Learning Operations](https://vstorm.co/what-is-mlops-machine-learning-operations/): MLOps streamlines Machine Learning workflows, enhancing scalability, optimizing costs, and ensuring reliable model deployment. - [LLMOps company: How to choose one?](https://vstorm.co/llmops-company-how-to-choose-one/): Learn how to choose the right LLMOps company to deploy, optimize, and scale advanced AI and LLM solutions effectively. - [How to enhance LLMs through LLM Ops?](https://vstorm.co/how-to-enhance-llms-through-llm-ops/): Learn how LLM Ops ensures seamless deployment, scalability, and optimization of language models while minimizing risks and costs. - [Top 10 LLM Ops Companies](https://vstorm.co/top-10-llm-ops-companies-for-2025/): A list of the top 10 companies specializing in LLM Ops service. Leaders in the field operationalizing Large Language Models. - [LLM Ops: How to manage Large Language Models?](https://vstorm.co/llm-ops-how-to-manage-large-language-models/): The possibilities, key benefits, applications, and challenges of LLM Ops in managing large language models. - [AI Chatbot Developer: How to choose one?](https://vstorm.co/ai-chatbot-developer-how-to-choose-one/): AI chatbot developer for companies seeking automation is essential for implementing effective custom AI chatbot solutions. - [How to use AI Chatbots in your company?](https://vstorm.co/how-to-use-ai-chatbots/): Learn to implement AI chatbots effectively with practical steps and real-life examples to enhance your business operations. AI chatbot - [Top 10 Custom LLM Development Companies](https://vstorm.co/top-10-custom-llm-development-companies-for-2025/): A list of the top 10 companies specializing in custom LLM development. Leaders in the field of developing custom LLMs. - [Comparing custom LLM software to LLM development](https://vstorm.co/difference-between-custom-llm-software-and-llm-development/): Key differences in choosing between custom llm-based software and llm development. How to choose you ideal solution. - [The role of RAG in automating enterprise workflows](https://vstorm.co/the-role-of-rag-in-automating-enterprise-workflows/): Retrieval-Augmented Generation ( RAG ) technology enhances workflow automation and business process management for boosting efficiency. - [RAG Developer: How to choose one?](https://vstorm.co/how-to-choose-rag-developer/): RAG developer for companies seeking automation is essential for implementing effective custom Retrieval-Augmented Generation solutions. - [Why should you secure LLM?](https://vstorm.co/why-should-you-secure-llm/): Why is it so important to secure LLM ? Also here are 7 solutions you can use to be sure your data is safe. - [What is Natural Language Processing (NLP)?](https://vstorm.co/what-is-nlp/): This article explores how Natural Language Processing (NLP) drives innovation and efficiency across industries through practical applications - [How to prompt? Build the perfect prompt for your LLM](https://vstorm.co/how-to-prompt-build-the-perfect-prompt-for-your-llm/): Prompt guide you need to know about to prompt your Large Language Model (LLM) and how to use it in your business. - [What are Large Language Models (LLMs)?](https://vstorm.co/what-are-large-language-models-llms/): Everything you need to know about Large Language Models (LLMs) and how to use them in your business. All in one article. - [How to choose the right LlamaIndex developer?](https://vstorm.co/how-to-choose-the-right-llamaindex-developer/): How does LlamaIndex help companies develop Large Language Models (LLMs) applications? Check out our insights as a LlamaIndex developer. - [What is LlamaIndex? New possibilities in development with LLMs](https://vstorm.co/what-is-llamaindex-new-possibilities-in-development-with-llms/): How does LlamaIndex help companies develop Large Language Models (LLMs) applications? Check out our insights as a LangChain developer. - [How to secure data in LLM? [GUIDE]](https://vstorm.co/data-security-using-llms-guide/): Protect your data security and data privacy with LLMs. Learn how to safeguard your information and stay compliant with regulations. - [How to choose the right LangChain developer?](https://vstorm.co/how-to-choose-the-right-langchain-developer/): How does LangChain help companies develop Large Language Models (LLMs) applications? Check out our insights as a LangChain developer. - [What is LangChain? New possibilities for LLMs](https://vstorm.co/what-is-langchain-new-possibilities-in-development-with-llms/): How does LangChain framework help companies develop LLMs applications? Check out our insights as a LangChain developer. - [How to data scraping using LangChain?](https://vstorm.co/how-to-scrape-data-using-langchain/): Check out real-world case studies on how data scraping using LangChain. Vstorm as an experts and leading LangChain developer. - [Top 10 best LangChain development companies](https://vstorm.co/top-10-best-langchain-development-companies/): Check out LangChain's top 10 best development companies that can help boost your projects. Find the perfect partner. - [Strategies for fostering High-Performance AI in enterprises](https://vstorm.co/ai_in_enterprises/): Discover the strategies for fostering High-Performance AI in enterprises and how you can use it in your company. Read it now. - [Advancing Text Analysis on images with LLMs](https://vstorm.co/advancing-text_analysis-on-images-with-llms/): Discover the possibilities offered by AI like Text Analysis on images and how you can use it in your company. Read it now. - [Advancing LLM Text Clustering](https://vstorm.co/advancing_text_clustering_with_llms/): Discover the possibilities offered by AI like Text Clustering and how you can use it in your company. Read it now. - [Advancing AI Translation with LLMs](https://vstorm.co/what-is-translation/): Discover the possibilities offered by Translation AI and how you can use it in your company. Read it now.. - [Advancing Sentiment Analysis with LLMs](https://vstorm.co/what-is-sentiment-analysis/): Discover the possibilities offered by Sentiment analysis and how you can use it in your company. Read it now. - [Advancing Reasoning with LLMs](https://vstorm.co/the-impact-of-llms-on-reasoning/): How Large Language Models are transforming reasoning processes across diverse domains, enhancing analytical capabilities and decision-making. - [Advancing LLM Semantic Search](https://vstorm.co/semantic-search/): The integration of Large Language Models (LLMs) in enhancing semantic search capabilities within the field of information retrieval (IR). - [Advancing AI Question Answering with LLMs](https://vstorm.co/what-is-question-answering-llms/): Learn effective methods for Question Answering AI, helping you quickly grasp the main ideas from long articles and documents. - [Advancing Text Summarization with LLMs](https://vstorm.co/all-you-have-to-know-about-text-summarization/): Learn effective methods for summarizing text, helping you quickly grasp the main ideas from long articles and documents. - [What is Information Extraction using LLMs?](https://vstorm.co/implementing-information-extraction/): IE emerges in making sense of this data deluge, transforming unstructured data into structured actionable information. AI for companies - [How Large Action Models Are Transforming Industries?](https://vstorm.co/how-large-action-models-are-transforming-industries/): The transformative impact of Large Action Models (LAM) across industries, highlighting their capabilities, applications, and challenges. - [What Is Retrieval-Augmented Generation (RAG) for LLMs](https://vstorm.co/the-power-rag-in-llm/): RAG transforms LLM-based AI applications by incorporating up-to-date, specific data, making them better suited to real-time needs. - [Happy Easter Holiday](https://vstorm.co/happy-ester-holiday-vstorm/): Vstorm wishes you a happy Easter. Thank you for being an indispensable part of our story. - [The Impact of LLM on Sales Strategies](https://vstorm.co/the-impact-of-llm-on-sales-strategies-in-2024/): AI and LLM transform sales with personalized communication, efficient strategies, and data-driven insights for better customer engagement. - [How can LLM be integrated with CRM to boost the sales team?](https://vstorm.co/how-can-llm-be-integrated-with-crm-to-boost-the-sales-team/): Integration of LLMs with CRM systems, offering insights into enhancing sales team efficiency and personalizing customer engagement - [FinTech in 2024: the role of LLMs and AI in finance](https://vstorm.co/ai-and-llm-in-fintech-transforming-the-future-of-finance/): AI in finance and LLMs elevate customer service, streamline compliance & improve decision-making, optimizing operations. - [Happy Christmas and Cheers to 2024!](https://vstorm.co/happy-christmas-and-cheers-to-2024/): Happy Christmas and Cheers to 2024! - [Use-Cases of LLMs in AdTech](https://vstorm.co/use-cases-large-language-models-in-adtech/): LLMs in AdTech are more than efficiency tools; they are innovation drivers, reshaping how advertising is conceptualized and executed. As these technologies evolve, we anticipate further groundbreaking applications in AdTech. - [Large Language Models in Telecommunication](https://vstorm.co/large-language-models-in-telecommunication/): LLMs in the telecommunication. From customer service to operational optimizations, LLMs and AI are setting new standards in efficiency. - [Collaborative synergy: Vstorm x Generative AI Conference](https://vstorm.co/collaborative-synergy-vstorm-x-generative-ai-conference/): Reflecting on Vstorm’s participation in the Generative AI Conference, it's evident that the company is not just riding the AI wave but actively shaping its course in MarTech. - [Vstorm Honored as a Clutch Champion for 2023](https://vstorm.co/vstorm-honored-as-a-clutch-champion-for-2023/): Vstorm Clutch Champion 's award in 2023 highlights its status as an esteemed AI development company. This award is a testament to Vstorm's expertise, quality service, and client-focused approach. - [LangChain Development Services](https://vstorm.co/langchain-development-services/): Check out our LangChain development services, where innovation meets practicality. Let's transform your business together with AI - [The Power of LangChain in LLM-Based Applications](https://vstorm.co/the-power-of-langchain-in-llm-based-applications/): The integration of LangChain in LLM-based applications is a game-changer. Embrace this change, explore LangChain use cases, and be part of a future that's more connected, efficient, and inclusive. - [AI talent recruitment challenges in Enterprises](https://vstorm.co/ai-talent-recruitment-challenges-in-enterprises/): The role of AI specialist ranks as the #1 emerging job, highlighting the growing demand for AI expertise in various industries - [Strategies for choosing the best AI development vendor on Clutch](https://vstorm.co/strategies-for-choosing-the-best-ai-development-vendor-on-clutch/): In summation, identifying the ideal AI development vendor on Clutch requires diligence, effective communication, and a meticulous approach. - [A guide to finding the right AI developer on Upwork](https://vstorm.co/a-guide-to-finding-the-right-ai-developer-on-upwork/): finding the right AI Developer on Upwork requires a combination of due diligence, clear communication, and a keen eye for detail. - [AI Integration](https://vstorm.co/ai-integration/): If you're ready to start your AI integration journey or looking to optimize your current strategy on LLM integration, reach out to Vstorm.co. Together, let's push boundaries and redefine what's possible in business. - [The Manifest Honors Vstorm as Toronto’s Most Reviewed AI Leader for 2023](https://vstorm.co/the-manifest-honors-vstorm-as-torontos-most-reviewed-ai-leader-for-2023/): During the annual The Manifest Company Awards, Vstorm was officially spotlighted as one of the most reviewed and recommended AI Top Leaders - [Instant customer service. AI chatbots in e-commerce](https://vstorm.co/instant-customer-service-ai-chatbots-in-e-commerce/): AI chatbots in e-commerce, in particular, have become integral in enhancing customer service, providing instant, personalized responses to customer inquiries, and significantly improving user experience. - [Generative AI in Tech Sectors](https://vstorm.co/generative-ai-in-tech-sectors/): one thing remains clear: generative AI in tech sectors is reshaping industries, driving efficiency, ensuring accuracy, and enhancing user experiences. - [Navigating the AI wilderness: tools for small businesses and startups](https://vstorm.co/navigating-the-ai-wilderness-tools-for-small-businesses-and-startups/): Ai tools for small businesses and startups - [AI Chatbot Built in Public by Vstorm 01](https://vstorm.co/ai-chatbot-build-in-public-by-vstorm-01/): Ai chatbot build in public by aI development company Vstorm - [Artificial Intelligence and its Dance with Data Privacy: Unpacking the ChatGPT Conundrum](https://vstorm.co/artificial-intelligence-and-its-dance-with-data-privacy-unpacking-the-chatgpt-conundrum/): AI and data privacy by Vstorm -ai development company - [Simple How-To with AI. GPT in Google Docs and Spreadsheets 01](https://vstorm.co/simple-how-to-with-ai-gpt-in-google-docs-and-spreadsheets-01/): GPT for Sheets and Docs? It's an AI tool for Google Sheets and Docs. With it, you can write better, extract data, translate text, and more, all powered by ChatGPT. - [Meet our COO! Interview with Kamil Włodarczyk](https://vstorm.co/meet-our-coo-interview-with-kamil-wlodarczyk/): Get to know our COO! Read the interview with Kamil Włodarczyk and discover VStorm's vision in generative AI, MVP development, and driving innovation. - [Generative AI for startup owners... and not only!](https://vstorm.co/generative-ai-technologies-for-startups/): Empower your startup with generative AI technologies. Vstorm offers cutting-edge solutions for startups, including MVP development and more. - [AI in programming. Separating hype from reality with Code Interpreter and Copilot](https://vstorm.co/ai-in-programming-separating-hype-from-reality-with-code-interpreter-and-copilot/): Explore how generative AI in programming is used and separate hype from reality in interpreter and Copilot. A must-read for startups - [Getting to know the new Chairman: an interview with Piotr Krzysztofik](https://vstorm.co/getting-to-know-the-new-chairman-an-interview-with-piotr-krzysztofik/): Get to know Piotr Krzysztofik, VStorm's new Chairman, in an exclusive interview. Discover his vision for generative AI and MVP development - [Will AI eliminate Recruitment departments?](https://vstorm.co/will-ai-eliminate-recruitment-departments/): Explore the impact of AI on recruitment departments. Discover how AI is revolutionizing the hiring process and shaping the future of talent acquisition. - [Data Mining Explained](https://vstorm.co/data-mining-explained/): Uncover the power of generative AI in data mining. Vstorm maximizes data insights for informed decision-making and MVP development strategies. - [AI Applied Observability in detail](https://vstorm.co/applied-observability-in-detail/): Delve into the details of applied observability in the context of MVP development for startups. Understand its impact on generative AI - [Python? Or SQL? Programming languages and tools used in data projects](https://vstorm.co/python-or-sql-exploring-the-pros-and-cons-of-programming-languages-and-tools-used-in-data-projects/): Explore the pros and cons of Python in generative AI and MVP development for startups. Discover the best programming languages and tools - [Unlock the power of data observability](https://vstorm.co/unlock-the-power-of-data-observability/): Unlock the power of data observability with Vstorm. Leverage generative AI and MVP development to drive scalable solutions for startups - [Harnessing technology to craft a data strategy for your business](https://vstorm.co/harnessing-technology-to-craft-a-winning-data-strategy-for-your-business/): Craft a winning data strategy with VStorm's technology expertise. Leverage generative AI and MVP development for business growth and success. - [A remote cost of AI development team in practice](https://vstorm.co/a-remote-data-development-team-to-make-a-great-product-for-your-company/): Leverage a remote data development team and generative AI to create outstanding products for your company. - [Scenario-based Project Management and What-If Analysis](https://vstorm.co/scenario-based-project-management-and-what-if-analysis/): Explore scenario-based project management and what-if analysis with Vstorm. Contribute to generative AI and MVP development, driving data-driven decision-making for startups. - [Hire remote AI developers with Vstorm](https://vstorm.co/hire-remote-ai-developers-with-vstorm/): Discover how Vstorm hires remote AI developers and data specialists. Embrace generative AI and MVP development while working remotely and contributing to startup success. - [Dolnośląskie firmy podbijają światowe rynki](https://vstorm.co/dolnoslaskie-firmy-podbijaja-swiatowe-rynki/): Explore VStorm's success stories in Dolnośląskie region. Witness how our generative AI and MVP development empower startups to conquer global markets. - [Year in review, 2022](https://vstorm.co/year-in-review-2022/): Take a look back at the highlights of 2022 with Vstorm. Celebrate our achievements in generative AI, MVP development, and scaling for startups. - [Firmy z Dolnego Śląska i ich pomysły na unowocześnianie świata.](https://vstorm.co/firmy-z-dolnego-slaska-i-ich-pomysly-na-unowoczesnianie-swiata/): Witness the innovative ideas of Lower Silesian companies in shaping the world. VStorm leads the way with generative AI and MVP development solutions. - [Tokio Game Show 2022. Dolny Śląsk chce podbić technologiczne centrum świata](https://vstorm.co/dolny-slask-chce-podbic-technologiczne-centrum-swiata/): Dolny Śląsk chce podbić technologiczne centrum świata z Vstorm. Zobacz Tokio Game Show 2022 z Vstorm. - [The ABC of Chrome Add-ons for Front-End and Web Developers.](https://vstorm.co/the-abc-of-chrome-add-ons-for-front-end-and-web-developers/): Discover the ABC of Chrome Add-ons for front-end and web developers with Vstorm. Enhance your generative AI and MVP development workflow for startup success - [1...2...3... It's time to stretch! A short guide on how to avoid back pain](https://vstorm.co/1-2-3-its-time-to-stretch-a-short-guide-on-how-to-avoid-back-pain/): Digital Nomads Guide: Maintain your health while working remotely. --- # # Detailed Content ## Pages ### Agentic AI in Life Sciences > We help drive ROI through hyper-personalization, hyper-automation and enhanced decision-making processes with custom AI and LLM-based software - Published: 2025-04-24 - Modified: 2025-04-24 - URL: https://vstorm.co/agentic-ai-in-life-sciences/ --- ### Die Pragmatik der KI - Published: 2025-04-24 - Modified: 2025-04-24 - URL: https://vstorm.co/die-pragmatik-der-ki/ --- ### Pragmatics of Agentic AI - Published: 2025-04-02 - Modified: 2025-04-24 - URL: https://vstorm.co/pragmatics-of-ai-workshop/ --- ### 1-pager VSA - Published: 2025-02-28 - Modified: 2025-05-02 - URL: https://vstorm.co/1-pager-vsa/ --- ### Fill out the form - Published: 2025-02-03 - Modified: 2025-02-03 - URL: https://vstorm.co/fill-out-the-form/ --- ### Schedule a meeting - Published: 2025-02-03 - Modified: 2025-04-29 - URL: https://vstorm.co/schedule-a-meeting/ --- ### PyTorch development > Our experts provide custom AI chatbot development services to enhance automation, personalization, and decision-making. - Published: 2025-01-17 - Modified: 2025-01-17 - URL: https://vstorm.co/pytorch-development/ --- ### ML Ops service > Expert ML Ops services: optimize, deploy, and manage Machine Learning models for scalability, efficiency, and reliability. - Published: 2024-12-13 - Modified: 2024-12-16 - URL: https://vstorm.co/ml-ops-service/ --- ### LLM Ops service > Expert LLM Ops services: optimize, scale, and manage Large Language Models for efficiency and reliability. - Published: 2024-12-11 - Modified: 2024-12-11 - URL: https://vstorm.co/llm-ops-service/ --- ### AI Chatbot development > Our experts provide custom AI chatbot development services to enhance automation, personalization, and decision-making. - Published: 2024-12-05 - Modified: 2024-12-16 - URL: https://vstorm.co/ai-chatbot-development/ --- ### RAG Development Service > Our experts provide RAG development services to enhance automation, personalization, and decision-making.. - Published: 2024-11-27 - Modified: 2024-12-11 - URL: https://vstorm.co/rag-development-service/ --- ### Large Language Models Development > We are helping businesse with Large Language Model development services to enhance productivity, efficiency, and user engagement. - Published: 2024-11-25 - Modified: 2024-12-16 - URL: https://vstorm.co/large-language-models-development/ --- ### Custom LLM-based software > Custom LLM solutions by Vstorm: scalable, secure, and tailored to your business needs. Check out our LLM service - Published: 2024-11-20 - Modified: 2024-12-16 - URL: https://vstorm.co/custom-llm-based-software/ --- ### AI Consultancy in New York > Vstorm specializes in AI consultancy in New York, delivering AI development solutions to drive business growth for NYC companies. - Published: 2024-10-30 - Modified: 2024-10-30 - URL: https://vstorm.co/ai-consultancy-in-new-york/ --- ### AI Consultancy > Vstorm, one of the top AI and LLM companies, provides artificial intelligence and machine learning consulting services across all industries. - Published: 2024-10-17 - Modified: 2024-12-17 - URL: https://vstorm.co/ai-consultancy/ --- ### LlamaIndex Development Company > Vstorm is a LlamaIndex development company. We empower clients to grow through AI expertise and technological & strategic partnerships. - Published: 2024-10-10 - Modified: 2024-12-16 - URL: https://vstorm.co/llamaindex-development-company/ --- ### Universe | Vstorm > Here's a Vstorm 's list of the technology used in AI and LLM-based projects. The latest LLMs solutions for business. - Published: 2024-09-06 - Modified: 2025-05-02 - URL: https://vstorm.co/universe/   window. onload = function { Calendly. initBadgeWidget({ url: 'https://calendly. com/info-vstorm/60min? primary_color=fb3640', text: 'Book a free AI consultation! ', color: '#fb3640', textColor: '#ffffff', branding: undefined }); } --- ### AI Vstorm Book > Perfect for tech enthusiasts and professionals, this book provides a clear understanding of LLMs and their impact on various fields. - Published: 2024-05-29 - Modified: 2025-05-02 - URL: https://vstorm.co/the-llm-book/ --- ### AI Community Vstorm > Join for a dynamic online forum where AI aficionados share insights, resources, and expertise, supported by Vstorm - Published: 2024-04-29 - Modified: 2025-05-02 - URL: https://vstorm.co/ai-community/ --- ### Home > We help drive ROI through hyper-personalization, hyper-automation and enhanced decision-making processes with custom AI and LLM-based software - Published: 2024-03-05 - Modified: 2025-05-09 - URL: https://vstorm.co/ --- ### LangChain Development Company > Vstorm is an Langchain development company. We empower Clients to grow through Ai expertise and technological & strategic partnerships. - Published: 2023-11-06 - Modified: 2024-12-16 - URL: https://vstorm.co/langchain-development-company/ --- ### NLP Development Company > Vstorm is a NLP development company. We empower Startups and SMBs to scale through AI and technological & strategic partnerships. - Published: 2023-10-03 - Modified: 2023-10-30 - URL: https://vstorm.co/nlp-development-company/ --- ### Berlin > Berlin may be the beating heart of Europe's tech innovations, but when it comes to maximizing efficiency and value in AI development, casting the net slightly further to Poland's Vstorm.co proves to be a strategic move. - Published: 2023-10-03 - Modified: 2023-10-30 - URL: https://vstorm.co/generative-ai-development-company/berlin/ Berlin, long celebrated as the beating heart of Europe's startup culture and technological renaissance, has witnessed a surge in its AI development sector. In the matrix of cobblestone streets and modern glass façades, artificial intelligence has found its newest playground. But as Berlin's enterprises increasingly adopt AI, an interesting trend is shaping up: the inclination to outsource development, especially to neighboring Poland. At the helm of this shift is a standout company, Vstorm. co. Berlin: The Silicon Allee of AI Development Coined as the 'Silicon Allee', Berlin's tech scene is not just about startups and venture capitalists anymore. AI has rapidly become a cornerstone. From chatbots enhancing customer service in eCommerce platforms to sophisticated deep learning models predicting financial market nuances, AI's integration in Berlin is profound. However, as with any booming technology, AI development brings its own challenges: Talent Pool: While Berlin boasts a significant number of tech-savvy individuals, the specific expertise required for nuanced AI projects can sometimes be scarce. Budget Constraints: AI development, with its requirement for specialized skills and tools, can be an expensive endeavor, especially for startups and mid-sized enterprises. This brings us to a pivotal question: With Berlin's resources, why is there a drift towards external assistance? Poland's Rising Dominance in AI and IT Poland, traditionally known for its historical landmarks and scenic beauty, is rapidly carving its identity in the tech world. Cities like Warsaw, Krakow, and Wroclaw are bustling with tech events, hackathons, and a young, tech-enthused population. Here are reasons why... --- ### AI Business Assistance > Our AI Business Assistance supports multiple languages, broadening your business's reach and ensuring communication with diverse customers. - Published: 2023-08-03 - Modified: 2024-01-09 - URL: https://vstorm.co/ai-business-assistance/ --- ### AI Chatbot > Our AI chatbot is more than just a virtual assistant. It's a complete customer service solution - Published: 2023-08-03 - Modified: 2023-11-10 - URL: https://vstorm.co/ai-chatbot/ --- ### AI Content personalization > While startups should continue to embrace AI content personalization tools, it is important to remember the value of human expertise. - Published: 2023-06-15 - Modified: 2023-10-30 - URL: https://vstorm.co/ai-content-personalization/ AI's capability to revolutionize content personalization has gained significant attention in recent years, particularly within the startup ecosystem. Leveraging AI for content personalization allows businesses to refine customer engagement strategies, leading to increased growth and success. Introduction In the fast-paced world of startups, differentiation is key. One area that offers significant potential for differentiation is the personalization of content, with AI providing the necessary tools to achieve this . AI-driven creative content generation and decision-making are powerful tools that startups can harness to engage customers at a personalized level, significantly enhancing customer experience and brand loyalty . Benefits and Applications of AI Content Personalization AI Creative-Content Generation Startups often face the challenge of limited resources, with teams needing to wear multiple hats. In this context, AI is a game-changer. AI algorithms, drawing from extensive databases, can generate creative content that deeply resonates with target customers, driving conversion rates and contributing to growth. Startups, by leveraging AI creative-content generation, can maximize engagement while minimizing time and effort spent on content creation and curation . AI-driven content personalization has found success across numerous industries, from e-commerce and customer service to marketing and beyond. For example, a retailer successfully boosted its revenue and order count by employing AI to use achievement-oriented language in its ads. AI Tools for Non-Technical Marketers The use of AI in content personalization is not limited to those with technical expertise. AI tools are available that allow even non-technical marketers to create personalized content journeys, increasing customer engagement and... --- ### AI Customer Support: The Future of Customer Engagement > AI customer support represents a significant shift in the way companies interact with their customers. - Published: 2023-06-15 - Modified: 2023-10-30 - URL: https://vstorm.co/ai-customer-support/ Artificial Intelligence (AI) is playing a transformative role in customer service, improving engagement, enhancing user experiences, and streamlining processes. Despite the challenges associated with use case selection, technology integration, and self-service complexity, the benefits of AI-powered customer support far outweigh the risks. Key Benefits and Applications of AI in Customer Support Improved Engagement: Financial institutions are leveraging AI-powered customer service to increase satisfaction and enhance customer engagement. By aligning AI tools with the customer engagement vision, these institutions are successfully navigating the complexity of self-service and the limitations of the labor market, ultimately deepening relationships with their customers and anticipating their needs . Optimal User Experiences and Process Improvement: AI enhances user experiences by assisting agents and empowering customers to resolve issues effectively. Tools like chatbots and sentiment analysis not only help in automating processes but also improve the efficiency of customer service. This augmentation of physical and software processes reduces costs and increases efficiency. However, the successful implementation of AI requires high-quality and relevant data . Automation and Personalization: AI applications like chatbots, ticket organization, opinion mining, and multilingual support have revolutionized customer service automation. They improve efficiency, reduce costs, and enhance the customer experience. By analyzing past interactions, AI can provide dynamic wait times, automate action recommendations for agents, and personalize experiences. Though challenges associated with AI implementation exist, the benefits include reduced ticket volume, improved resolution efficiency, lower costs, and enhanced customer satisfaction and retention . Conclusion As advancements in AI and machine learning continue, we can... --- ### AI Documentation Automation > AI Documentation Automation represents a significant shift in the way we handle and process documents. - Published: 2023-06-15 - Modified: 2023-10-30 - URL: https://vstorm.co/ai-documentation-automation/ Artificial Intelligence (AI) is revolutionizing many aspects of our lives, and one area it's making significant strides in is the automation of documentation. From processing and managing documents to automatically generating documentation from code, AI technologies are enhancing efficiency, reducing costs, and improving the accuracy and consistency of documentation. AI Documentation Automation: The State of Play Several key technologies and trends are shaping the future of AI-driven documentation automation: Comprehensive Document Processing Solutions: Tools such as Microsoft's Document automation toolkit comprising AI Builder, Power Automate, Power Apps, and Microsoft Dataverse, are enabling the setup of a complete document processing solution. Power Automate orchestrates the process, AI Builder extracts information intelligently, Power Apps facilitate manual document review and approval, while Dataverse manages data, files, and configurations. Such comprehensive solutions are revolutionizing how organizations handle document processing, from creation to archival . Structured Data Extraction and Management: Platforms such as Google's Document AI solutions suite offer features that enable structured data extraction from documents, along with analysis, search, and storage capabilities. These platforms leverage Google's AI technologies, offering a unified console for document processing, data enrichment, and human-in-the-loop reviews. The benefits of such a system include cost-effectiveness, operational efficiency, data accuracy and compliance, and leveraging document data for customer insights . Automatic Documentation Generation from Code: Startups like Mintlify are using AI techniques such as natural language processing and web scraping to automatically generate documentation from code. This not only helps improve documentation quality but also offers additional features such as scanning... --- ### AI Information Extraction: Revolutionizing Data Processing > AI Information Extraction represents a significant shift in how we handle and process data. - Published: 2023-06-15 - Modified: 2023-10-30 - URL: https://vstorm.co/ai-information-extraction-revolutionizing-data-processing/ Artificial Intelligence (AI) is transforming the way we extract information from a myriad of sources. By leveraging advancements in machine learning, deep learning, and natural language processing (NLP), AI-based information extraction systems can decipher and classify information from complex documents, drastically improving efficiency and accuracy in various industries. What is AI Information Extraction? It is a field that involves using AI techniques, such as machine learning and NLP, to extract structured information from unstructured data sources like text documents, images, and web pages. The extracted data can be utilized in downstream applications, such as building knowledge graphs, performing analytics, or powering decision-making systems. Trends and Advancements in AI Information Extraction Several key advancements and trends are shaping the future: Deep Learning Architectures: Innovative deep learning architectures allow for sophisticated data extraction from documents, even those with uncommon fonts, misaligned text, and complex visuals. IBM Research, for instance, has introduced technologies like TableLab, which leverages user feedback to fine-tune pre-trained models, resulting in improved accuracy for table extraction. Other advancements include synthetic data generation and unsupervised extraction of document layouts . Automation and Efficiency: AI has the potential to drastically reduce errors and costs associated with traditional data extraction methods. This can lead to faster document processing, simpler operational procedures, and significant productivity gains. Despite this potential, many companies are yet to prioritize AI and machine learning for information extraction . OCR, Deep Learning, and NLP: Techniques like Optical Character Recognition (OCR), deep learning, and NLP are being increasingly utilized in... --- ### AI Semantic Translation: The Bridge Between Languages > AI Semantic Translation represents a significant leap forward in machine translation technology, enabling more nuanced, contextually appropriate translations. - Published: 2023-06-15 - Modified: 2023-10-30 - URL: https://vstorm.co/ai-semantic-translation-the-bridge-between-languages/ Introduction Artificial Intelligence (AI) has revolutionized numerous fields, and translation is no exception. By applying semantic understanding, AI has significantly improved the accuracy and nuance of machine translation, enabling more effective communication across languages and cultures. What is AI Semantic Translation? AI Semantic Translation is an advanced application of machine learning and natural language processing (NLP) that goes beyond literal translation. While traditional machine translation typically maps words from the source language to the target language based on predefined rules or statistical models, semantic translation goes a step further. It aims to understand the meaning and context behind sentences, phrases, and words in the source language to provide a more accurate and contextually appropriate translation in the target language . Trends and Advancements in AI Semantic Translation There are several key trends and advancements: Embeddings: Embeddings are numerical representations of concepts that can represent semantic similarity between different pieces of text or code. OpenAI, for example, has developed advanced embedding models derived from GPT-3 to map text and code into high-dimensional space, facilitating more accurate understanding and comparison of concepts. This technology has found applications in a variety of domains, such as astrophysics data analysis, textbook content retrieval, and customer conversation analysis, and has shown improved accuracy and efficiency in these applications . Semantic Data Science (SDS): The use of Semantic Data Science in AI model development is another important trend. This involves automating the discovery of relevant concepts, linking them to external knowledge and code, and suggesting new features... --- ### AI Semantic search: The Future of Information Retrieval > AI Semantic Search represents a step forward in our ability to find, analyze, and use information, delivering search results that are more accurate, contextually relevant, and useful - Published: 2023-06-15 - Modified: 2023-10-30 - URL: https://vstorm.co/ai-semantic-search-the-future-of-information-retrieval/ Introduction Artificial Intelligence (AI) has become an integral part of our society, influencing various sectors from transportation to healthcare. One area where AI is making significant strides is search technology, particularly semantic search . Understanding AI Semantic Search AI Semantic Search is an advanced search technology that employs AI, particularly Natural Language Processing (NLP), and machine learning algorithms to understand the meaning, context, and intent behind search queries, thus providing more accurate and relevant search results. Trends in AI Semantic Search Several trends are shaping the future of AI Semantic Search: Large Language Models: Models like GPT-4 and ChatGPT are changing the face of search technology by enabling more advanced conversational search. They can understand and respond to queries in a human-like manner, providing more contextual and relevant results . Vector Search: As text content continues to grow, dense vector search is becoming mainstream. It offers superior speed and accuracy by transforming text into dense vector spaces . Hybrid Search Models: Combining traditional keyword-based search with AI-driven technologies is seen as the most pragmatic model for the future, capitalizing on the strengths of both to enhance search capabilities . Ethics and Bias: As AI-driven search continues to evolve, concerns persist around potential biases in AI models and the ethical implications of their use. Efforts to build explainable AI models aim to tackle these issues, creating a more transparent and trustworthy AI ecosystem . Democratization of AI: AI is becoming increasingly accessible through apps and low-code/no-code platforms, and this includes AI-driven... --- ### Stable Diffusion > Unlock the power of Stable Diffusion for your startup or SMB. Streamline content generation, enhance visuals, and drive growth. - Published: 2023-06-15 - Modified: 2023-10-30 - URL: https://vstorm.co/stable-diffusion/ Unlock the Power of AI-Generated Content Discover how Stable Diffusion integration can revolutionize your startup or SMB by unlocking the power of AI-generated content. Streamline your visual assets, accelerate growth, and captivate your audience like never before. The Benefits of Stable Diffusion Integration With SD's integration, you gain access to cutting-edge AI technology that can transform your business. Experience the seamless generation of high-quality images based on text prompts and input images. Revolutionize your content creation process and drive engagement with captivating visuals. Revolutionize Your Visual Assets Stable Diffusion integration empowers you to create stunning visual assets effortlessly. From logos and illustrations to product images and social media content, AI-generated visuals can take your branding to the next level. Stand out from the competition and captivate your audience with visually striking and professional-looking designs. Streamline Content Generation By integrating Stable Diffusion into your startup or SMB, you streamline content generation and save valuable time and resources. Say goodbye to tedious and time-consuming manual creation processes. With AI-generated content, you can quickly generate a wide variety of visuals to meet your marketing and communication needs. Drive Growth and Engagement Engaging visuals are key to capturing your audience's attention and driving growth. SD's integration allows you to create eye-catching visuals that resonate with your target market. Whether it's social media posts, blog graphics, or website banners, AI-generated content can help you stand out and leave a lasting impression. Seamless Integration Process At Vstorm, we specialize in seamlessly integrating Stable Diffusion into startups... --- ### GPT-4 Customization > Boost your business with Chat GPT-4 customization services. Enhance customer experiences and streamline operations. Contact us now! - Published: 2023-06-15 - Modified: 2023-10-30 - URL: https://vstorm.co/gpt-4-customization/ Welcome to Vstorm, your trusted partner for Chat GPT-4 customization services. We understand the unique needs of startups and SMBs. We are here to help you unlock the full potential of this cutting-edge technology. Vstorm offers assistance in harnessing the power of Chat GPT-4. Let's enhance your customer interactions, streamline operations, and drive business growth. Why Choose Chat GPT-4 Customization? Elevate Customer Interactions with Conversational AI With Chat GPT-4, you can take your customer interactions to the next level. Our team specializes in customizing this advanced AI model to match your specific industry and business requirements. By training Chat GPT-4 with your company's unique data and using it to understand and respond to customer queries, you can deliver personalized and engaging experiences. Whether it's addressing support tickets, providing product recommendations, or nurturing leads, Chat GPT-4 will seamlessly interact with your customers, providing accurate and helpful responses. Streamline Operations and Boost Efficiency Efficiency is the key to success for startups and SMBs, and Chat GPT-4 customization can help you achieve it. Our experts will work closely with you to integrate Chat GPT-4 into your internal processes, automating tasks and freeing up valuable human resources. From administrative duties to project management and collaboration, Chat GPT-4 becomes a virtual assistant that handles repetitive and time-consuming tasks. By optimizing your workflows, you can focus on strategic initiatives, drive innovation, and propel your business forward. How Our Customization Services Work At Vstorm, we follow a comprehensive approach to Chat GPT-4 customization to ensure maximum effectiveness... --- ### Explore the Future with Our AI Model Training Services > Discover how AI Model Training empowers startups and SMBs to unlock the power of artificial intelligence. Learn about the process, benefits, and how to partner with AI experts for optimal results. - Published: 2023-06-14 - Modified: 2023-10-30 - URL: https://vstorm.co/ai-model-training/ In today's rapidly evolving technological landscape, AI Model Training has emerged as a game-changer for startups and SMBs. This revolutionary approach enables businesses to harness the potential of artificial intelligence and drive innovation. Let's explore the significance of AI Model Training and its applications for startups and SMBs. Understanding AI Model Training AI Training involves the process of training artificial intelligence models to analyze data, recognize patterns, and make informed decisions. It empowers businesses to develop intelligent systems that can automate tasks, extract valuable insights, and enhance decision-making processes. Benefits for Startups and SMBs AI Training offers numerous benefits for startups and SMBs, propelling them towards success in the competitive market. Let's explore some key advantages: Data-Driven Decision Making: By leveraging AI models trained on relevant data, startups and SMBs can make data-driven decisions, enabling them to stay ahead of the curve and optimize their operations. Enhanced Efficiency: AI-powered systems can automate repetitive tasks, streamline workflows, and improve overall efficiency. This allows startups and SMBs to focus on strategic initiatives and achieve more in less time. Improved Customer Experience: AI models can analyze customer behavior, preferences, and interactions to provide personalized experiences. This leads to higher customer satisfaction and loyalty, contributing to business growth. Competitive Edge: It equips startups and SMBs with powerful tools to gain a competitive edge. By leveraging AI algorithms, businesses can identify market trends, predict customer needs, and adapt their strategies accordingly. The Process AI Model Training involves several steps to ensure optimal results. Let's take... --- ### Prompt Design & Engineering: Transforming Ideas into Action > Discover Prompt design & engineering service in Vstorm. Custom-made prompts, expert guidance, and dedicated support to transform ideas. - Published: 2023-06-14 - Modified: 2023-10-30 - URL: https://vstorm.co/prompt-design-engineering/ Prompt design and engineering have emerged as pivotal aspects of working with advanced artificial intelligence (AI) systems, such as the OpenAI GPT models. They serve as key factors in controlling the behavior of these models, influencing their output in significant ways. These techniques ensure more accurate, relevant, and value-driven responses from AI models. What is Prompt Design and Engineering? Prompt engineering involves the creation of informative, diverse, and relevant prompts that guide AI models, especially language models, to generate the desired outputs. It's the art and science of carefully formulating input prompts to evoke targeted responses from an AI model . Core Techniques in Prompt Design and Engineering Advanced techniques in prompt engineering as offered by Azure OpenAI Service include strategies like: Clear Instructions: Prompts should have explicit and unambiguous instructions to get precise responses from the model. System Messages: These can be used to remind the AI model of its identity and function, helping it stay in character and within the desired context . Recency Bias and Priming the Output: AI models tend to pay more attention to recent inputs, hence, essential instructions can be placed closer to the end of the prompt. Breaking Tasks Down: For complex tasks, breaking them down into simpler subtasks can help the AI model generate more accurate outputs . Advanced Services Offered Companies like Vstorm provide a comprehensive suite of prompt engineering services which include: Custom Prompt Design: Crafting custom prompts tailored to the specific requirements of the business. Fine-Tuning: Adjusting and refining... --- ### AI Application Discovery: A Pathway to Innovation > Discover the potential of Geenrative AI for your startup with our AI application discovery service and drive your digital potential - Published: 2023-06-14 - Modified: 2023-10-30 - URL: https://vstorm.co/ai-application-discovery/ AI application discovery? How do I get started? As the business world rapidly embraces artificial intelligence (AI), the opportunities for its application are nearly limitless. From enhancing efficiency to reducing costs, AI has demonstrated its ability to revolutionize industries. As a result, startups, businesses, and e-commerce platforms can particularly benefit from AI if they can discover the most relevant applications for their needs. Decoding AI Application Discovery AI application discovery is the process of identifying areas within a business where AI can make a significant impact. This discovery process is multifaceted and involves understanding various types of AI applications and their potential evolution. It also requires categorization based on the intelligence level and whether it's a standalone or integrated platform . As per a survey by Forbes Advisor, businesses are utilizing AI across customer service, CRM, inventory management, and content production . Meanwhile, AI's application in e-commerce includes areas such as website personalization, recommendation systems, pricing optimization, retail analytics, and cybersecurity . How to Discover AI Applications for Your Business Assess Your Needs: Evaluate your business needs, challenges, and objectives. Identifying your key requirements will guide your discovery of the most relevant AI applications. Research and Benchmarking: Look at what similar businesses in your industry are doing with AI. Learn from their experiences, successes, and challenges. Consult with Experts: Engage with AI experts, consultants, or technology vendors to gain insights into the latest AI applications relevant to your business. Experimentation: Trial and error can be a great way to discover... --- ### AI Proof of Concept Delivery for startups > Understand the importance of an AI PoC, its steps, and its ability to prove the viability of your AI concept. - Published: 2023-06-14 - Modified: 2023-10-30 - URL: https://vstorm.co/ai-proof-of-concept/ In the fast-paced world of tech startups, creating a viable product is a challenge. This is particularly true when the technology involved is as cutting-edge as generative AI. With this in mind, an AI proof of concept (PoC) becomes essential. It's here we guide you on how startups can use an AI PoC. This tool validates innovative ideas and makes visions a reality. The Essence Before diving into the benefits and steps of implementing an AI proof of concept, understanding it is key. Essentially, an AI PoC is a working model. It demonstrates the practicality of an AI-based idea. The main goal is to evaluate how the generative AI product will operate in a real-world environment. Consequently, stakeholders gain a tangible representation of the innovation. The Importance of AI Proof of Concept to Startups For startups, an AI proof of concept offers multiple benefits. Firstly, it verifies technical feasibility. It makes sure the proposed AI model functions as planned. Secondly, it helps secure funding. Investors are more likely to back a startup with a functioning product model. Lastly, an AI PoC allows for valuable feedback. Gathering this feedback can refine the AI model before a full-scale rollout. Creating Your AI PoC Developing an AI proof of concept is a process with several stages. Initially, defining the concept and setting objectives is vital. Then, creating a model to evaluate the AI's performance is necessary. Finally, you must conduct testing in a controlled environment. For a successful AI PoC, consider: Clear Objectives:... --- ### Text-to-Image Generation: Visual Content Creation for SMBs and Startups > Unlock the potential of text-to-image technology for startups and SMBs. AI's role in creating cost-effective visuals for your business. - Published: 2023-06-14 - Modified: 2023-10-30 - URL: https://vstorm.co/text-to-image/  A New Era: Text-to-Image Generation Welcome to the future of content creation where text-to-image technology is redefining the way we create visuals. Leveraging the power of AI and machine learning, AI image generation offers an innovative solution for producing captivating visual content. As businesses continue to harness the power of artificial intelligence, one area that's gathering momentum is Image Generation, particularly text-to-image synthesis. This technology has found a crucial role in various sectors, aiding businesses, startups, and small-to-medium-sized businesses (SMBs) in a myriad of ways. Powered by machine learning models, it provides an innovative approach to generating visually appealing and relevant imagery based on descriptive text inputs. Decoding Image Generation: The Science Behind Text-to-Image Synthesis Image generation is a complex process, often facilitated by Generative Adversarial Networks (GANs). In text-to-image synthesis, AI models are trained to convert textual descriptions into corresponding visual elements. Despite the complexity, recent advancements have made it possible to generate high-quality images that align semantically with the input descriptions . Some of the groundbreaking models in this field include the StyleDrop and the Semantic-Spatial Aware GAN. StyleDrop is a method introduced by Kihyuk Sohn and colleagues to synthesize images with specific design patterns, textures, or materials . On the other hand, Semantic-Spatial Aware GAN is a novel framework designed to effectively fuse text features and image features for text-to-image synthesis . Ethical Considerations for Image Generation Like many advanced AI technologies, image generation comes with its ethical considerations. These include issues related to copyright infringement, misinformation,... --- ### Large Language Models (LLMs) - Unlocking the potential > In the simplest terms, Large Language Models (LLMs) are advanced AI models that excel in understanding and generating human-like text. - Published: 2023-06-14 - Modified: 2023-11-15 - URL: https://vstorm.co/large-language-models/ What are Large Language Models? Large Language Models or LLMs are the frontier of artificial intelligence. By generating texts that mirror human conversation, these advanced AI models offer unparalleled capabilities. Their capacity to understand context, nuances, and deliver pertinent responses, sets LLMs apart. Ever since the advent of digital transformation, artificial intelligence has played a significant role in transforming business operations across the globe. One such AI technology that is reshaping business processes is the concept of Large Language Models (LLMs). These models, are neural networks that are trained to understand patterns and relationships in languages. They offer immense potential for businesses, startups, and SMBs, enabling them to generate high-quality text and optimize content for better online visibility. The science behind LLMs Before delving into the applications of Large Language Models in the business context, it is important to understand what they are and how they operate. LLMs, such as GPT-3, are neural networks that learn patterns in language through training on diverse datasets. This learning process involves complex techniques such as cross-validation, fine-tuning, and transfer learning. The fascinating part about these models is their use of transformers, a neural network architecture that captures context and dependencies in language effectively. This ability to understand context and generate contextually relevant text is the essence of these language models' functionality. Ethical considerations for Large Language Models While LLMs are a promising technology, they come with certain ethical considerations. These models rely on training data and can reflect the biases in those data... --- ### Generative AI Development Company > Vstorm is a generative AI development company. We empower Startups and SMBs to scale through technological & strategic partnerships. - Published: 2023-05-29 - Modified: 2024-01-25 - URL: https://vstorm.co/generative-ai-development-company/ --- ### AI Newsletter > A dose of news and insights on technology and innovation. Created by CEO and Founder of Vstorm - Antoni Kozelski . Subscribe now! - Published: 2023-03-27 - Modified: 2025-05-02 - URL: https://vstorm.co/ai-newsletter/ --- ### Venture tech builder > Experience Vstorm as a venture tech builder. Harness generative AI and MVP development to build and scale startups, driving innovation. - Published: 2023-03-23 - Modified: 2023-10-30 - URL: https://vstorm.co/a-tech-driven-venture-builder/ --- ### Team extension > Explore Vstorm's team extension services for startups. Scale your team with top talent in generative AI and MVP development, accelerating your startup's growth. - Published: 2023-01-25 - Modified: 2023-11-22 - URL: https://vstorm.co/team-extension/ --- ### Web Product Development > Vstorm excels in generative AI-driven web product development for startups. Harness MVP development expertise to unlock your data's potential - Published: 2023-01-23 - Modified: 2023-10-30 - URL: https://vstorm.co/web-product-development/ --- ### Digital Nomadopedia > Embrace the digital nomad lifestyle with VStorm's generative AI and MVP development focus. Collaborate remotely on groundbreaking projects - Published: 2022-05-05 - Modified: 2025-05-02 - URL: https://vstorm.co/digital-nomadopedy/ --- ### Press > Stay updated with VStorm's latest news and contributions to the startup ecosystem. Explore our generative AI and MVP development projects making an impact - Published: 2022-04-20 - Modified: 2025-05-02 - URL: https://vstorm.co/press/ --- ### Community > Join the Vstorm community! Share insights, collaborate on generative AI projects, and learn about MVP development in the startup world. - Published: 2022-02-22 - Modified: 2022-02-22 - URL: https://vstorm.co/community/ --- ### GDPR Compliance note > Ensure GDPR compliance with VStorm. Trust us to handle data responsibly with our expertise in generative AI and secure MVP development. - Published: 2022-02-08 - Modified: 2023-06-15 - URL: https://vstorm.co/gdpr-compliance-note/ We inform you that with regard to your providing your personal data in order to participate in the recruitment procedure: 1) Your data controller is VSTORM Sp. z o. o. with the registered office at Waniliowa 48/6 Street, 51-180 in Wrocław, entered in the Register of Entrepreneurs of the National Court Register conducted by the District Court for the City Wroclaw, VI-th Commercial Division of the National Court Register under number KRS 0000853793, having tax identification number (NIP) 8952220262, which can be contacted via email: info@vstorm. co; 2) You can contact our Data Protection Officer via email address: info@vstorm. co; 3) Your personal data shall be processed in order to contact and invite you, carry out and decide on the recruitment process, based on article 221 § 1 of the Labor Code with regard to article 88 of the GDPR and article 6 section 1 point c of the GDPR and the agreement declared by yourself (article 6 section 1 point a of the GDPR); 4) For some of our job offers we may require video material from you, including your image. Your personal data in this scope shall be processed in order to carry out and decide the recruitment process for the position you are applying for, based on article 221 § 4 of the Labor Code with regard to article 88 of the GDPR and the agreement declared by yourself (article 6 section 1 point a of the GDPR); 5) We shall process your personal data in order... --- ### Candidates: Frequently Asked Questions > Find answers to frequently asked questions about generative AI, MVP development, and our work with startups. We're here to help clarify your queries! - Published: 2022-02-04 - Modified: 2023-06-16 - URL: https://vstorm.co/frequently-asked-questions/ What are the values of the Vstorm community? “Community that drives your full potential” is what we believe. We follow remote-first culture, a workplace 4. 0 approach; we care about work-life balance and our impact on the societies we live in. In Vstorm, you will find people who enjoy their jobs while working for both big enterprises and smart SMBs; people who live their full potential and do what they promise. What are your perks? Apart from working 100% remotely with flextime, each Vstorm community member receives an annual budget of $2,500 to drive their full potential and achieve their life goals. We would like you to follow your passion, take risks and try new things, including traveling and self-development. Where is your company’s headquarter? We are a remote-first company, which means that we don’t have a headquarter, although our primary location is in Wroclaw, Poland, where our core team is. We have engineers from all parts of Poland and other countries.   How does Vstorm communicate daily? We use tools like Slack, Hangouts, Google Docs, Notion, etc. , to communicate daily. We communicate with partners via private channels, regular video #coffee-small-talks, or sharing your news or fun things on #social Slack channels. We also have regular meetings online events to play games, explore themes and share our great news to stay updated with the community.   Where do I receive the work equipment from? Our partners are providing the workstation and phone (if needed). Applying for a job: How... --- ### Contact us > Got a query about generative AI or MVP development? Want to collaborate with us? Contact Vstorm now, we'd love to hear from you! - Published: 2022-02-03 - Modified: 2025-02-04 - URL: https://vstorm.co/contact-us/ About us Vstorm Sp. z o. o. VAT ID: 895-222-02-62ul. Waniliowa 48/651-180 Wrocław,Poland, EUE-mail: info@vstorm. co Request for Proposal Use our Request for Proposal tool and make the process of sending requests easier! https://bit. ly/ai-powered-RFP     --- ### Services > We offers AI services with LLMs and ML, driving growth through innovative solutions and tailored MVP development. - Published: 2022-01-19 - Modified: 2024-12-16 - URL: https://vstorm.co/services/ --- ### Career > Start your career with VStorm! Work on groundbreaking generative AI projects, MVP development, and collaborate with promising startups - Published: 2022-01-19 - Modified: 2025-05-05 - URL: https://vstorm.co/career/ --- ### Blog > Dive into our blog for insights on generative AI, MVP development, and the latest trends in the startup ecosystem. Learn, grow, and innovate with us! - Published: 2022-01-17 - Modified: 2024-06-13 - URL: https://vstorm.co/blog/ --- ### About us > Vstorm is a custom AI and LLMs company specializing in Python web development, empowering clients' growth through technological partnerships. - Published: 2022-01-17 - Modified: 2025-05-06 - URL: https://vstorm.co/about-us/   window. onload = function { Calendly. initBadgeWidget({ url: 'https://calendly. com/info-vstorm/60min? primary_color=fb3640', text: 'Book a free AI consultation! ', color: '#fb3640', textColor: '#ffffff', branding: undefined }); } --- ### Case studies > Explore our AI and LLMs case studies, applications, MVP development projects, and how we empower companies to achieve their goals. - Published: 2022-01-17 - Modified: 2025-05-02 - URL: https://vstorm.co/case-studies/ --- ### For Candidates > Explore career opportunities at Vstorm. Join our team and unlock your potential in generative AI, MVP development, and cutting-edge technologies. - Published: 2022-01-17 - Modified: 2025-02-05 - URL: https://vstorm.co/for-candidates/ --- ### Privacy Policy > VStorm values the privacy - Published: 2022-01-12 - Modified: 2022-04-06 - URL: https://vstorm.co/privacy-policy/ How do we process your personal data? When as a natural person you contact us or use our services, regardless of whether you act on your behalf or on behalf of another entity (e. g. our client, supplier, etc. ) or when we have obtained your personal data from other sources (e. g. from publicly available industry websites or when your personal data have been disclosed to us as a contact for the purpose of execution of the contracts) we start to process your personal data. We approach all information about you responsibly and in accordance with the law – in particular with GDPR. Your privacy is important to us. This policy explains what personal data we collect from you and how we process it. It also explains how our website uses cookies. I. Glossary – basic concepts Your data controller is VSTORM Sp. z o. o. with the registered office at Waniliowa 48/6 Street, 51-180 in Wrocław, entered in the Register of Entrepreneurs of the National Court Register conducted by the District Court for the City Wroclaw, VI-th Commercial Division of the National Court Register under number KRS 0000853793, having tax identification number (NIP) 8952220262, which can be contacted via email: info@vstorm. co. Personal data – all information that we process related to you. For example: name, surname, email address, consumption data, payment details etc; Processing – all operations that we perform on your personal data. This includes e. g. : collecting, storage, updating, sending correspondence, analysing in order to issue... --- ### Home > Vstorm is a generative AI development company. We empower clients to grow through technological & strategic partnerships. - Published: 2022-01-12 - Modified: 2024-01-08 - URL: https://vstorm.co/home/ --- --- --- ## Posts ### Choosing the right LLM model for the job - Published: 2025-03-28 - Modified: 2025-03-28 - URL: https://vstorm.co/choosing-the-right-llm-model-for-the-job/ - Categories: Blog, LLM Scoring, Model Evaluation We get it; it’s hard to decide which large language model should be used for a specific business application. Many new ones are coming out each month, and without being technically versed, it’s hard to see the forest for the trees. That is why every business-oriented decision-maker can count on our help in discerning — should you rely on Claude Sonnet, Gemini Flash, GPT-4o, or Llama, what are their strengths and weaknesses in real-life business applications, and how such applications differ from what you see in what you see in existing benchmarks. What we’re excited about when thinking of models?   From a pragmatic perspective, it’s more important how a model supports a business use case and its costs, from how high its evaluation metrics are positioned in the model comparisons. It is a different vantage point to what benchmarks show. But let’s start with how to read the benchmarks that we are exposed LLM Benchmarks: How are models typically compared? Recently, xAI and Anthropic released new models: Grok 3 and Claude 3. 7 Sonnet. Let’s take a closer look at their release notes, focusing on the benchmarks used to measure model performance. Both companies evaluated their models using eight different benchmarks, but only three — MMMU, AIME’24, and GPQA — were common across both reports. One of the biggest challenges in benchmarking large language models is the sheer variety of available tests, many of which are frequently updated. Different models excel in different areas, so companies strategically select benchmarks that highlight their model’s strengths and demonstrate competitiveness. This... --- ### Top 10 Custom AI Agent Development Companies > Explore the top custom AI agent development companies specializing in AI-powered automation, decision-making, and business transformation. - Published: 2025-03-06 - Modified: 2025-03-06 - URL: https://vstorm.co/top-10-custom-ai-agent-development-companies/ - Categories: AI, AI Agents Artificial Intelligence (AI) agents are revolutionizing industries by enabling automation, enhancing decision-making, and improving user experiences. Companies worldwide are leveraging AI-driven solutions to build intelligent agents that streamline workflows, provide insights, and drive operational efficiency. In this article, we explore the top AI agent development companies, highlighting their expertise, services, and why they stand out in the field. What Are AI Agents and their business impact? AI agents are advanced software programs that utilize machine learning, natural language processing (NLP), and deep learning models to automate tasks, analyze data, and interact with users in real time. Unlike traditional software, AI agents can learn from interactions, adapt to changing conditions, and provide predictive insights. Businesses implement AI agents in various domains, including customer service, data analysis, healthcare, and finance, to enhance efficiency, reduce costs, and drive innovation. Why do businesses need custom AI agents? Custom AI agents provide businesses with tailored solutions that align with specific industry needs. Unlike off-the-shelf AI tools, custom-built agents can be fine-tuned to integrate seamlessly with existing systems, ensuring security, scalability, and high performance. Companies investing in AI agents benefit from improved automation, enhanced customer engagement, and data-driven decision-making. Criteria for selecting top custom AI Agent development companies To identify the top AI agent development companies, we evaluated firms based on the following criteria: Expertise in AI Development: Companies with a strong focus on AI agent development, machine learning, NLP, and automation. Proven Track Record: A history of successfully delivered AI projects with positive client feedback.... --- ### Off-the-shelf AI platform or Custom AI Agent solution? > Key considerations to keep in mind when deciding whether to build a Custom AI Agent or choose an existing SaaS platform. - Published: 2025-03-03 - Modified: 2025-03-04 - URL: https://vstorm.co/off-the-shelf-ai-platform-or-custom-ai-agent-solution/ - Categories: AI, AI Agents At Vstorm, we’ve noticed a new trend in the AI world: Companies that initially jumped on off-the-shelf Agentic AI platforms (like Botpress) are now turning to custom-built solutions. This move isn’t just a random pivot; it’s the natural evolution of businesses that demand tangible, trustworthy outcomes. While platforms like Rivet, Botpress, Vellum, EngAIge, and dataRobot enable the rapid development of AI agents, they often fall short of meeting more complex and critical business requirements. And in a world where your AI agent might be the face of your brand, “close enough” simply doesn’t cut it. What is an AI Agent? An AI Agent is an intelligent system powered by a Large Language Models (e. g. , GPT-4o) capable of making decisions, reasoning through problems, and taking relevant actions without human intervention. For example, imagine a customer service AI that independently decides to review product documentation, check internal databases, and generate a personalized response based on a customer’s order history. It’s not just a chatbot — it’s an autonomous decision-maker representing your company around the clock. Off-the-shelf AI solutions Agentic AI SaaS platforms promise a quick start. With pre-configured workflows, no-code interfaces, and easy integrations, these tools help businesses deploy AI without hiring an army of developers. For straightforward tasks, that’s great. But many organizations discover that these platforms become restrictive the moment they need: Customization that aligns perfectly with unique business processes. Advanced reliability to avoid humiliating AI “hallucinations” that erode trust. Control over data to ensure security and compliance... --- ### Top 10 RAG Development Companies > List of Top 10 RAG development companies that deliver tailored solutions for your industry and business. An AI and LLMs specjalists - Published: 2025-02-23 - Modified: 2025-02-24 - URL: https://vstorm.co/top-10-rag-development-companies/ - Categories: AI, LLMs, RAG Retrieval-augmented generation (RAG) solution is revolutionizing the AI landscape by enhancing Large Language Models (LLMs) with real-time data retrieval capabilities. This advancement enables businesses to access accurate, context-rich insights, thereby improving decision-making, automating processes, and delivering more precise and accurate responses. In this article, we delve into what RAG is, its significance for businesses, and the criteria for selecting an RAG development partner, and present a curated list of the top 10 RAG development companies. What is Retrieval-Augmented Generation (RAG) and how is it different from Large Language Models (LLMs)? Retrieval-Augmented Generation (RAG) is a Natural Language Processing (NLP) approach that combines the strengths of both retrieval and generation models to deliver more accurate and contextually relevant responses. Unlike traditional LLMs, which rely solely on their pre-trained internal knowledge base, RAG models leverage external data sources to retrieve pertinent information. This retrieval mechanism allows RAG systems to generate responses that are not only informed by the vast knowledge embedded within the language models but also enriched with up-to-date and contextually relevant data from external sources. For example, in a customer support scenario, an RAG-powered chatbot can access the latest product manuals or policy updates to provide precise and current information. This dual capability of retrieving and generating data ensures that users receive highly accurate and relevant responses, making RAG particularly valuable in dynamic environments where information is constantly evolving. If you'd like to learn more about the opportunities provided by RAG and LLMs, visit our blog. Why is RAG important... --- ### From idea to Agentic AI solution > Learn how Vstorm Solution Assessment (VSA) helps assess AI feasibility, cost, and impact. Download our 1-pager to explore the method! - Published: 2025-02-21 - Modified: 2025-04-14 - URL: https://vstorm.co/how-to-assess-the-value-of-ai-vsa-in-practice/ - Categories: AI Advaisory Each AI-related project is a journey into a bit of the unknown. It is a learning experience with a magnitude of unknowns in the process, which range from technical feasibility to real value delivered with automation. That is why at Vstorm, we work according to a specific method that spans the entire purchase process — from the moment we first get in touch with our potential customers to the moment we wrap up implementation projects, delivering either a single AI agent or an entire agentic framework. How to deal with the unknowns of AI adoption? During our conversations with customers, it is uncommon to face questions such as: Is the AI agent I need technically feasible? Would running it be economically viable? How may it help me to differentiate from the competition? What could be the long-term systemic impact on my team? To answer them, we blend decades of experience in IT solutions deployment from Agile to Scrum with risk-preventing measures necessary when working with novel, cutting-edge technologies. In this hotbed of a field, solutions, and technology tend to evolve as fast as customer expectations. Thanks to the methodology we work with, we're able to manage expectations across the entire scope of engagement, from proposal to deployment of custom solutions. From idea to Agentic AI one pager Familiarize yourself with your Vstorm’s unique approach that secures business results from custom AI agent deployment Download At Vstorm, we manage customer expectations by blending low-level expertise with high-level business advisory and entrepreneurial... --- ### Vstorm: Leader in LLMs solutions recognized by Deloitte Technology Fast 50 > Vstorm ranks in Deloitte’s Technology Fast 50, achieving 333% growth as a leader in AI and LLM innovation. Discover our journey and future. - Published: 2025-02-21 - Modified: 2025-03-05 - URL: https://vstorm.co/vstorm-leader-in-llms-solutions-recognized-by-deloitte-technology-fast-50/ - Categories: Community We are proud to announce that Vstorm has been recognized as one of the leading companies in Deloitte’s prestigious Technology Fast 50 ranking for Central Europe. This achievement is not only a milestone for us but also a confirmation that we are the fastest-growing company in this field. Our dynamic expansion and leading role in implementing AI-based solutions, particularly in the area of Large Language Models (LLMs), are the foundation of our success. Exceptional growth and leadership in AI Over the past years, Vstorm has achieved an impressive growth rate of 333%, securing our place among the region’s top-performing companies in AI innovation. What sets us apart is our specialization in LLM solutions, a rapidly evolving area where we’ve established ourselves as true experts. This achievement reflects our commitment to pushing boundaries and delivering cutting-edge solutions to our partners. A message from our CEO Antoni Kozelski, CEO and Co-founder of Vstorm shared his thoughts on this accomplishment: “This recognition is a huge honor for us and a reflection of the hard work and dedication of our entire team. But we’re not stopping here. Our mission is to keep evolving, ensuring that our partners grow and succeed alongside us. This award inspires us to keep raising the bar in the AI industry, especially when it comes to advancing LLM technologies. ” Turning AI vision into reality The past year has been transformative for AI. What was once a futuristic concept has now become a powerful, real-world tool driving value across industries.... --- ### AI Agentic Workflows: What they offer? > Discover how AI Agentic Workflows automate tasks and boost business efficiency. Learn their benefits and uses. - Published: 2025-02-19 - Modified: 2025-02-24 - URL: https://vstorm.co/ai-agentic-workflows-what-they-offer/ - Categories: AI, AI Agents Artificial intelligence (AI) has revolutionized various industries, and one of the most transformative advancements is the development of agentic AI workflows. These advanced automated systems function independently without human intervention, significantly enhancing efficiency and adaptability. By handling complex tasks autonomously, agentic AI workflows are reshaping traditional operational methods, making them indispensable in modern organizations. AI Agentic Workflows are transforming business operations by automating complex tasks, enhancing efficiency, and supporting data-driven decision-making. However, while these systems are powerful, they are not a one-size-fits-all solution. Their success depends on careful implementation, high-quality data, and ongoing optimization. In this article, we’ll take a balanced look at what AI Agentic Workflows can do, how they work, and what it takes to make them effective—without hype or overpromising, just the facts. What are Agentic AI Workflows? At their core, AI Agentic Workflows are systems that use intelligent agents to automate and manage tasks. These agents can analyze data, make decisions, and even collaborate with each other. Unlike traditional AI, which follows fixed rules, agentic AI is designed to adapt and learn over time. Large language models enable these agents to understand natural language, reason, and perform complex tasks autonomously. This adaptability makes them particularly useful for complex workflows—tasks that involve multiple steps, require real-time decision-making, or need to adjust to changing conditions. For example, they can optimize supply chain management, automate customer service, or enhance software development. Natural language processing plays a crucial role in enhancing AI capabilities, allowing these workflows to manage intricate tasks... --- ### How to implement AI Agents in your company > Learn how to implement AI Agents in your company, from use cases to deployment, integration, and scaling best practices. - Published: 2025-02-07 - Modified: 2025-02-07 - URL: https://vstorm.co/how-to-implement-ai-agents-in-your-company/ - Categories: AI, AI Agents, LLMs AI Agents are transforming businesses by automating tasks, improving decision-making, and optimizing workflows. Unlike traditional automation tools, AI-driven agents can adapt, learn from data, and execute tasks independently, making them highly valuable across various industries. However, implementing Agents is not just about deploying a chatbot or an automated system. It requires strategic planning, selecting the right use cases, ensuring data readiness, and choosing the right technology stack. This guide will take you through the step-by-step process of integrating AI Agents into your organization effectively. Understanding AI Agents and their capabilities AI Agents are software entities capable of perceiving their environment, making decisions, and taking actions to achieve specific goals. They vary in complexity, from simple rule-based agents to sophisticated systems powered by large language models (LLMs) and reinforcement learning. Types of AI Agents Rule-based agents – Operate based on predefined conditions and workflows. Machine learning-based agents – Improve decision-making over time using data-driven models. LLM-powered agents – Leverage natural language processing to interact with users in a human-like way. Autonomous multi-agent systems – Collaborate with other AI Agents to solve complex tasks. The effectiveness of Agents depends on the underlying technology. Natural language processing (NLP) enables them to understand human speech and text, while reinforcement learning allows them to optimize decisions through trial and error. Retrieval-augmented generation (RAG) further enhances AI Agents by providing access to external knowledge sources, ensuring more accurate and context-aware responses. Identifying use cases for AI Agents in your business To successfully implement AI Agents, businesses... --- ### Technologies behind AI Agents > Discover the key technologies AI agents use to process data, make decisions, and automate tasks efficiently. - Published: 2025-02-07 - Modified: 2025-02-07 - URL: https://vstorm.co/technologies-behind-ai-agents/ - Categories: AI, AI Agents, LLMs AI agents are autonomous or semi-autonomous systems that perform tasks, make decisions, and interact with users or environments. These systems have found applications in various domains, from customer service chatbots to advanced robotic process automation (RPA). As businesses increasingly integrate AI agents into their workflows, understanding the key technologies that power them is essential for effective deployment. Core components of AI Agents AI agents operate through multiple layers that work together to perceive, process, and act on data. The Perception layer enables agents to interpret information from various sources. Natural Language Processing (NLP) allows them to understand human language, while computer vision enables recognition and interpretation of visual inputs. Technologies like speech-to-text and text-to-speech further enhance the interaction between humans and AI. At the Reasoning & Decision-making layer, agents analyze data and determine actions. Some rely on predefined business rules and logic, while others use reinforcement learning to improve decision-making over time. Knowledge graphs and ontologies help organize and retrieve information efficiently, making reasoning more structured and effective. The Action layer is where agents execute decisions. This includes generating responses in conversational AI, integrating with external systems, and automating business processes. AI-powered workflows allow businesses to streamline repetitive tasks, freeing up human resources for more complex work. Key technologies for AI Agents Natural Language Processing (NLP) NLP is fundamental to AI agents, as it allows them to understand and generate human language. Large Language Models (LLMs) such as GPT-4, Claude, and LLaMA enable sophisticated conversational AI. Advanced techniques like tokenization,... --- ### How companies really implement AI and measure success > Discover how Vstorm’s workshops help businesses implement AI in business, balancing innovation with practical implementation for real impact. - Published: 2025-02-04 - Modified: 2025-03-03 - URL: https://vstorm.co/ai-in-business-separating-facts-from-myths/ - Categories: AI, AI Advaisory When you think about AI, do you see it as a powerful tool to embrace or a disrupting force? Many businesses struggle with this very question. To set the stage for our AI workshops, we often start with a thought-provoking comparison: How does Paul Atreides of Dune differ from Prometheus of Greek myth? Dune envisions a future where AI resembling humans was outlawed, ultimately resulting in a rejection of AI technology due to its risks. Mythical Prometheus did the opposite — fearlessly embraced godly powers (symbolized by fire) defying all related risks for human empowerment. Where does your organization stand in comparison — cautious of new technologies to the point of refusal, or self-made defiant, Promethean-style? For each decisionmaker seeking the answer — we help to strike the right balance, avoiding blind adoption while unlocking AI’s full potential for growth. Case Study: Tauron Dystrybucja Workshop Many large organizations, such as Tauron Dystrybucja, already use AI-based tools but are looking for a comprehensive environment tailored to their needs. Tauron Dystrybucja is a key player in the Polish energy sector, responsible for the distribution of electricity to millions of customers across southern Poland. As part of the Tauron Group, one of the largest energy companies in the country, the company ensures a stable and efficient energy supply while continuously modernizing its power grid infrastructure. Their focus on innovation and digital transformation drives their interest in AI-based solutions for optimizing energy distribution, predictive maintenance, and operational efficiency. And when they do so, they... --- ### What are AI Agents? > AI agents optimize business automation by enhancing efficiency, decision-making, and collaboration. Learn how they work and drive ROI. - Published: 2025-02-03 - Modified: 2025-02-19 - URL: https://vstorm.co/ai-agents-the-next-step-in-business-automation/ - Categories: AI, LangChain, LlamaIndex, LLMs, Machine Learning (ML), RAG Many companies have spent years implementing automation solutions—CRM integrations, scripted chatbots, and workflow automation tools—to improve efficiency. But these systems have limits. They follow predefined rules, struggle with dynamic situations, and require frequent updates whenever business needs change. Not like AI Agents. Agents take automation to a new level. Unlike static rule-based systems, they analyze data, make decisions, and act autonomously. Instead of following rigid instructions, they learn from interactions, adapt to new inputs, and optimize workflows over time. This makes them invaluable for businesses dealing with complex processes, large datasets, or unpredictable customer interactions. While early adopters are already gaining efficiency and cost advantages, many companies still hesitate, unsure how to integrate AI into their operations. Understanding how AI agents work, their business applications, and how to implement them effectively is crucial for staying competitive in an increasingly automated world. How AI Agents work: From data to intelligent decisions At their core, AI agents perceive, analyze, and act—just like a human decision-maker would, but at a much larger scale. Perception – The agent gathers data from various sources: CRM systems, IoT sensors, user interactions, emails, or financial reports. Unlike traditional automation, which follows strict input-output rules, AI agents process information dynamically. Example: A chatbot handling customer service queries doesn’t just match keywords to pre-set responses. It analyzes sentiment, past interactions, and intent, allowing it to tailor responses based on the customer’s history. Decision-making – Agents use machine learning models, rule-based logic, or reinforcement learning to determine the best course... --- ### Data Annotation and its role in AI > Data Annotation is key to AI accuracy. Learn its types, automation balance, quality metrics, and latest trends in AI development. - Published: 2025-01-29 - Modified: 2025-02-03 - URL: https://vstorm.co/data-annotation-and-its-role-in-ai/ - Categories: AI, LLMs Imagine building a house. You can have the best design, the most advanced materials, and a skilled team, but if the foundation is weak, the entire structure will collapse. The same applies to Artificial Intelligence (AI) and Large Language Models (LLM). Data Annotation is that invisible but crucial foundation that determines whether your AI solutions will work or fail. But what exactly is Data Annotation, and why should you care? Data Annotation in a nutshell – What it is and why it works Data Annotation is the process of labeling data—text, images, sounds, or video—in a way that allows machines to understand it. It's like explaining to a child what they see in a picture: "This is a cat, and this is a tree. " With this labeled data, AI learns to recognize patterns and make decisions. Imagine you want to build a chatbot for your business. Without Data Annotation, the model won't know whether a customer is asking about a price, product availability, or filing a complaint. Data Annotation teaches the model how to interpret user intent, ensuring that the chatbot responds accurately to customer needs. Why Data Annotation is your new best friend AI is only as good as the data it learns from. If the data is poorly labeled, the model will behave like a driver with a blindfold—it might move forward, but sooner or later, it will crash. High-quality annotations guarantee that your AI will operate precisely and reliably. Every business is unique. Data Annotation allows... --- ### RAG: When it makes sense and how to prepare? > Discover when and how to implement RAG to LLMs effectively while avoiding common pitfalls and maximizing its benefits. - Published: 2025-01-24 - Modified: 2025-01-30 - URL: https://vstorm.co/rag-when-it-makes-sense-and-how-to-prepare/ - Categories: AI, LlamaIndex, LLMs, RAG Retrieval-Augmented Generation (RAG) is a transformative technology that blends the capabilities of Large Language Models (LLMs) with real-time retrieval systems. Unlike traditional LLMs, which rely on data embedded during their training, RAG dynamically accesses external data sources to generate accurate and contextually relevant responses. This approach not only enhances the quality of information retrieval but also strengthens data security by minimizing the need to store sensitive data within the model itself. RAG’s potential lies in its ability to empower organizations to work smarter, react faster, and adapt to ever-changing demands. However, to harness its full benefits, businesses must understand when it makes sense to implement RAG and how to prepare effectively for its deployment. When does implementing RAG make sense? RAG is not a one-size-fits-all solution. It excels in specific scenarios where dynamic and secure data retrieval is essential. Understanding these scenarios will help organizations evaluate if RAG aligns with their goals and operational needs. Managing large and dynamic datasets Organizations handling vast and frequently updated data—such as customer databases, technical documentation, or analytical reports—can benefit significantly from RAG. The ability to pull real-time data ensures accuracy without constant model retraining. Real-time access to information Industries that require immediate access to relevant information, such as customer support, legal research, or financial analysis, can leverage RAG to improve response times and service quality. Enhancing data security By retrieving information directly from external sources rather than embedding it in the model, RAG ensures sensitive data remains securely stored in controlled environments, reducing... --- ### RAG 's Role in Data Privacy and Security for LLMs > Learn how RAG improves data privacy and security in LLM projects with dynamic retrieval and robust safeguards. - Published: 2025-01-22 - Modified: 2025-01-22 - URL: https://vstorm.co/rag-s-role-in-data-privacy-and-security-for-llms/ - Categories: AI, LLMs, RAG In the digital era, data protection and security are critical components of any AI-based technology. Retrieval-augmented generation (RAG), a technique that combines Large Language Models (LLMs) with retrieval systems, not only improves data processing efficiency but also strengthens RAG security by safeguarding sensitive information. Traditional generative models, such as GPT, rely on storing vast amounts of data within their structure during training. This storage increases the risk of data leaks. In contrast, RAG dynamically retrieves information from external databases in real time, eliminating the need to store sensitive data within the model. This approach significantly reduces privacy risks. Why is data security crucial in RAG? RAG operates in environments where data flows continuously between users, models, and knowledge bases. Each stage introduces potential vulnerabilities if not adequately secured. Sensitivity of user input: Users may provide confidential information that, without appropriate safeguards, could be intercepted. Security of data sources: The external sources used by RAG, such as documents or databases, often contain critical organizational data, making them an attractive target for attackers. Communication between systems: Data transmitted between the model and the knowledge base must be encrypted to prevent unauthorized access. Examples of RAG applications with a focus on data security Certain industries, such as healthcare, finance, and law, are highly sensitive to data security due to the nature of the information they handle. Patient records, financial transactions, and legal documents are all prime targets for data breaches. However, even in other industries, every piece of information—whether customer data or internal... --- ### vLLM: A smarter alternative to traditional LLMs? > Learn how vLLM improves efficiency, reduces costs, and makes LLMs accessible for businesses with practical applications and easy integration. - Published: 2025-01-22 - Modified: 2025-01-22 - URL: https://vstorm.co/vllm-a-smarter-alternative-to-traditional-llms/ - Categories: AI, LLMs For many businesses, large language models (LLMs) like GPT and BERT represent untapped potential. They promise to automate repetitive tasks, enhance decision-making, and generate meaningful insights. However, the cost and complexity of deploying these models have kept them out of reach for many organizations. This gap has left smaller businesses relying on outdated processes while larger corporations dominate the AI space. But there’s a shift happening. Enter vLLM (Virtual Large Language Model)—a solution designed to make AI more accessible and practical without requiring excessive resources. This article explores how vLLM addresses real-world challenges and opens the door for businesses of all sizes to leverage AI effectively. Why traditional LLMs are hard to implement Large language models are undeniably powerful, but their implementation often comes with steep challenges: Hardware demands: Running a traditional LLM requires GPUs with extensive memory, which are costly to purchase and maintain. High costs: Beyond hardware, operational expenses for deploying LLMs can reach tens or hundreds of thousands of dollars annually. Complex integration: Adapting these models to existing business systems often requires specialized teams and technical expertise. These barriers have made AI adoption slow, especially for small and medium-sized businesses. Even larger organizations struggle to deploy these systems efficiently at scale. What makes vLLM different? Unlike traditional LLMs, vLLM is built for efficiency. By optimizing how data and computation are handled, vLLM ensures businesses can benefit from AI without the need for extensive infrastructure upgrades or budgets. Here's what sets it apart: Smaller memory footprint vLLM uses... --- ### When to choose vLLM or RAG? > Explore the differences between vLLM and RAG, and understand their best use cases to make informed decisions for your AI-powered solutions. - Published: 2025-01-20 - Modified: 2025-01-20 - URL: https://vstorm.co/when-to-choose-vllm-or-rag/ - Categories: AI, LLMs, RAG Imagine this: Your company’s customer service team is overwhelmed by an influx of inquiries. They’re swamped, struggling to respond promptly, and customers are growing impatient. At the same time, your legal team is trying to navigate an ever-changing landscape of regulations, where a missed update could cost the company millions. Two different problems, two different solutions—but both could benefit from advanced AI. Enter vLLM and RAG, two technologies that are reshaping how businesses leverage artificial intelligence. But how do you choose the right one? Let’s break it down. What are vLLM and RAG? Before we dive into which one to choose, let’s clarify what we’re talking about. vLLM (velocity Large Language Models): Think of a model finely tuned for speed and efficiency. It’s like a sprinter—ready to deliver results in record time, perfect for applications where every second counts. RAG (Retrieval-Augmented Generation): Now imagine a seasoned researcher. RAG doesn’t rely solely on pre-learned knowledge. Instead, it dynamically fetches the latest, most relevant data from external sources to generate precise, up-to-date answers. Both are powerful. Both are transformative. But they serve very different purposes. When to choose vLLM? Let’s revisit our customer service scenario. A vLLM-powered chatbot can handle repetitive, straightforward inquiries in milliseconds. Use Cases: Chatbots: Answering common customer questions instantly. Content generation: Creating marketing materials, reports, or summaries at scale. Recommendation systems: Providing personalized product or service suggestions based on historical data. Why vLLM works: vLLMs shine when speed and efficiency are critical. They don’t need to consult external... --- ### PyTorch Developer: How to Choose One? > Choose the best PyTorch developer to build, deploy, and optimize machine learning models tailored to your business needs. - Published: 2025-01-17 - Modified: 2025-01-17 - URL: https://vstorm.co/pytorch-developer-how-to-choose-one/ - Categories: AI, LLMs Operationalizing machine learning models effectively is critical for businesses seeking to unlock the full potential of AI-powered solutions. PyTorch developers play a pivotal role in building, deploying, and optimizing these models for various applications. Success depends on selecting the right PyTorch developer who understands your unique goals, offers technical expertise, and provides ongoing support. This guide outlines the key steps to finding and partnering with the ideal PyTorch developer. What is PyTorch development? PyTorch development refers to the practices, tools, and workflows involved in designing, training, deploying, and maintaining machine learning models using the PyTorch framework. These operations include: Model development Building custom neural networks and machine learning solutions. Training and tuning Optimizing models for accuracy and performance. Deployment Efficiently setting up models in production environments. Monitoring and maintenance Ensuring models perform reliably and adapt to new data or requirements. A skilled PyTorch developer integrates these elements into seamless workflows, ensuring your AI systems remain robust, scalable, and cost-effective. Benefits of partnering with a PyTorch developer Working with a PyTorch developer offers several advantages: Custom solutions Tailored machine learning models for your specific business needs. Scalability Solutions designed to handle growing user demands and data volumes. Enhanced performance Continuous optimization ensures accurate and efficient outputs. Cost efficiency Resource-efficient setups reduce infrastructure and operational expenses. Future-proofing Expertise in emerging PyTorch features keeps your solution up to date. Define your goals Every business has unique goals and challenges. Before hiring a PyTorch developer, it’s crucial to define your objectives. What do you... --- ### Top 10 PyTorch Development Companies > Top 10 PyTorch development companies delivering innovative, scalable AI solutions. Featuring industry leader Vstorm. - Published: 2025-01-15 - Modified: 2025-01-17 - URL: https://vstorm.co/top-10-pytorch-development-companies/ - Categories: AI, LLMs PyTorch development companies play a pivotal role in building, optimizing, and deploying machine learning and deep learning solutions for businesses. By leveraging PyTorch's flexibility and dynamic computation graph, these companies create custom AI solutions that address industry-specific challenges. Their expertise enables businesses to integrate AI models seamlessly into their operations, improving efficiency, scalability, and decision-making. Key responsibilities of PyTorch development companies Custom model development. Designing and building tailored machine learning and deep learning models. Model training and Fine-tuning. Ensuring models are accurately trained using domain-specific datasets. Deployment and integration. Implementing models into production environments. Performance optimization. Regularly monitoring and enhancing models for better performance. Data security compliance. Ensuring AI systems adhere to data privacy regulations. Why PyTorch development matters for businesses As businesses increasingly adopt AI to transform their operations, the demand for efficient model development and management has grown. PyTorch’s ease of use and support for research and production make it a preferred choice for many companies. Benefits of PyTorch development: Flexibility and scalability. Supports seamless scaling of AI solutions. Rapid prototyping. Enables quick testing and iteration of machine learning models. Open-source community. Backed by a large, active community that continuously improves the framework. Cost-effectiveness. Reduces development costs through faster iteration and integration. Selection criteria for the ranking The following companies were evaluated based on: Experience in PyTorch development. Track record of delivering impactful AI projects. Innovation. Use of state-of-the-art technologies to create cutting-edge solutions. Client portfolio. Success stories and case studies demonstrating expertise. Global reach. Ability to serve... --- ### What is PyTorch in AI & LLM Projects? > Learn what PyTorch is and how to use it in AI and LLM projects. Discover key features, benefits, and business use cases to enhance your AI - Published: 2025-01-15 - Modified: 2025-01-17 - URL: https://vstorm.co/what-is-pytorch-in-ai-llm-projects/ - Categories: AI, LLMs In the ever-evolving world of Artificial Intelligence (AI), organizations constantly seek reliable tools that can bring their innovative ideas to life. PyTorch has emerged as a powerful framework that balances flexibility and efficiency, making it a preferred choice for building Machine Learning (ML) and Large Language Model (LLM) projects. Since its inception by Meta AI (formerly Facebook AI), PyTorch has been a game-changer, particularly for teams looking to experiment, iterate, and deploy models quickly. This article provides an in-depth look at what PyTorch is, why it matters, and how businesses can harness its potential to create impactful AI solutions. From key components to practical use cases, we’ll explore the unique features that make PyTorch a standout in the AI ecosystem. What is PyTorch? PyTorch is an open-source machine learning framework designed to simplify the development of neural networks and deep learning models. Unlike traditional frameworks that use static computation graphs, PyTorch builds dynamic graphs that adjust in real time during execution. This flexibility makes it easier for developers to debug and refine their models. Key features of PyTorch Dynamic computation graph: Provides flexibility to modify computations during runtime, making iteration faster and more intuitive. Automatic differentiation: Automatically calculates gradients needed for model optimization, saving time and reducing manual coding errors. Seamless GPU integration: PyTorch allows developers to leverage powerful GPUs with minimal configuration changes, accelerating model training. TorchScript support: Converts PyTorch models into deployable formats optimized for production environments. Why it matters: PyTorch’s adaptability enables companies to rapidly prototype and... --- ### Data Preparation: The Key to AI and LLM Success > Boost AI and LLM performance with effective data preparation. Discover key steps and tools for clean, structured data. - Published: 2025-01-08 - Modified: 2025-01-14 - URL: https://vstorm.co/data-preparation-the-key-to-ai-and-llm-success/ - Categories: AI, LLMs Integrating AI and Large Language Models (LLMs) into business workflows requires much more than implementing advanced algorithms. It demands a structured, consistent, and compliant approach to data preparation. High-quality data is the foundation of any successful AI model—it improves accuracy, reduces operational costs, and accelerates deployment. In this guide, we’ll walk you through the essential steps involved in preparing data for AI and LLM integration, addressing the most common challenges, tools, and best practices. The importance of data preparation for AI and LLMs Data preparation is the backbone of AI projects. It ensures that the system can understand, learn, and generate meaningful outputs. When data is disorganized, incomplete, or inconsistent, even the most advanced LLMs will struggle to deliver accurate results. This can lead to issues such as incorrect customer insights, misleading predictions, or biased decision-making. Clean, labeled, and well-structured data enables the model to: Recognize meaningful patterns in vast datasets. Learn efficiently from smaller datasets by avoiding noise. Reduce the time and cost needed for re-training and maintenance. Additionally, a robust data preparation process helps organizations comply with regulatory frameworks, ensuring that AI solutions remain transparent and trustworthy. Types of data used in AI and LLM projects Structured data Structured data is highly organized and stored in predefined formats, such as tables or databases. Examples include customer purchase records, sales history, and financial reports. A retail company, for instance, might store transaction details in a database with columns for "purchase ID," "date," "item," and "amount. " This format makes... --- ### What is LangGraph and how to use it? > LangGraph combines graph structures with LLMs to simplify data analysis, uncover patterns, and deliver actionable insights. - Published: 2024-12-30 - Modified: 2024-12-30 - URL: https://vstorm.co/what-is-langgraph-and-how-to-use-it/ - Categories: AI, LLMs Imagine a tool that doesn’t just organize your data but actually understands it—a tool that connects the dots, identifies patterns, and answers your questions in plain language. That’s LangGraph. Whether you’re trying to analyze a social network, uncover hidden fraud, or deliver better recommendations, LangGraph is here to simplify the way you work with data. But what is it exactly, and how does it work? Introduction to LangGraph In today’s world, data is everywhere. From social media interactions to business operations, we’re surrounded by complex webs of information. However, making sense of these webs can feel overwhelming. This is where LangGraph comes in. Think of it as your personal data translator, capable of turning tangled datasets into clear, actionable insights. LangGraph combines the structure of graph databases—which represent data as nodes (entities) and edges (relationships)—with the power of Large Language Models (LLMs) that understand context and meaning. This marriage of technologies unlocks new possibilities, making it easier than ever to see not just the data itself, but the story it’s telling. How LangGraph works Let’s break it down. Imagine you’re looking at a massive network of dots and lines. Each dot represents a person, a product, or an idea, while the lines show how they’re connected. At first glance, it’s chaos. LangGraph turns that chaos into clarity by following a structured and intuitive process: 1. Data ingestion LangGraph begins by importing your data and organizing it into nodes (the dots) and edges (the lines). For instance, in a customer database,... --- ### How to Build a Large Language Models > Learn to build a Large Language Models (LLMs) step-by-step with tools, strategies, and best practices for scalable AI solutions. - Published: 2024-12-19 - Modified: 2024-12-19 - URL: https://vstorm.co/how-to-build-a-large-language-models/ - Categories: AI, LLMs Large Language Models (LLMs) have transformed how AI systems process human language using natural language processing techniques. These models perform tasks such as language translation, sentiment analysis, and text generation, showcasing their potential across industries. This guide explores how to create an LLM by breaking down the necessary steps in a practical and accessible way. Imagine starting with a blank canvas—a system that knows nothing about language—and transforming it into a model that generates coherent essays, summarizes articles, or engages in meaningful conversations. This guide will teach you practical steps, including defining a use case, collecting relevant and high-quality training data, and choosing an architecture. By the end, you will gain essential skills to effectively build and deploy an LLM. Understanding the basics of Large Language Models What are LLMs? Large Language Models are advanced AI systems designed to process and generate human-like text through natural language understanding and text generation. Think of them as powerful tools that can "read," "write," and "understand" text. But unlike humans, LLMs rely on patterns rather than true comprehension. For instance, GPT (Generative Pre-trained Transformer) is a pre-trained model capable of generating human-like text by predicting the next token in a sequence. BERT (Bidirectional Encoder Representations from Transformers), on the other hand, focuses on understanding context, making it ideal for tasks like answering questions or detecting sentiment. How do LLMs work? Large Language Models work by analyzing input text through attention mechanisms, identifying key patterns and relationships. For instance, when processing the sentence "The... --- ### How to Leverage LLM and AI in Telecommunications? > AI and LLMs in telecom for customer interactions, network management, and operational efficiency, boosting the telecommunications industry. - Published: 2024-12-16 - Modified: 2024-12-17 - URL: https://vstorm.co/llm-and-ai-in-telecommunications/ - Categories: AI, LLMs The telecommunications sector is one of the most dynamic and critical areas of the modern economy. As technology and customer expectations evolve, telecom companies must seek new ways to adapt to changing market demands. One of the most effective tools revolutionizing the telecom industry is advanced Artificial Intelligence (AI) and Large Language Models (LLMs). These technologies enable telecom operators to automate processes, enhance customer service, and optimize network operations while reducing operational costs. By adopting AI technology, telecom providers can unlock new revenue streams and deliver a superior customer experience. However, integrating these solutions requires strategic planning to overcome challenges and fully leverage their capabilities. Challenges in the Telecommunications Industry Telecom companies face several challenges, including: Growing data volume. Massive data generation from customers, IoT devices, and network infrastructure requires advanced data analytics tools. Ensuring high-quality customer service. Companies must maintain quick response times and efficient customer service to meet increasing demand. Fraud detection. Combating real-time fraud is a major challenge that requires robust AI models for network security and revenue protection. Optimizing network infrastructure. The development of technologies like 5G and network slicing demands intelligent resource management and predictive maintenance solutions. These challenges highlight the importance of adopting AI solutions to enhance efficiency and competitiveness in the telecommunications industry. Applications of AI and LLM in Telecommunications Automating customer service AI and LLMs enable the automation of customer interactions through chatbots and voice assistants. These technologies handle customer queries, resolve technical issues, and support sales processes while reducing operational costs.... --- ### Top 10 MLOps Companies > Top MLOps services companies excelling in deployment, monitoring, and scaling ML models. Vstorm leads the way. - Published: 2024-12-13 - Modified: 2024-12-17 - URL: https://vstorm.co/top-10-mlops-companies/ - Categories: AI, Machine Learning (ML) What is MLOps? MLOps (Machine Learning Operations) is a set of practices that combine operational management (DevOps) with the lifecycle of machine learning models. It involves automating, deploying, monitoring, and managing ML models in production environments. With MLOps services, organizations can achieve greater efficiency, scalability, and reliability in their AI solutions. Why is MLOps important? Effective implementation of MLOps enables organizations to: Increase the efficiency of ML processes. Scale models to large-scale applications. Monitor and maintain models in real-time. Ensure compliance with regulations and data security standards. Criteria for selecting the best MLOps companies We selected these criteria to ensure a comprehensive evaluation of the companies offering MLOps services. These factors highlight the ability of each firm to deliver reliable, scalable, and innovative solutions that meet the unique needs of their clients. By focusing on experience, client success stories, and innovation, we aim to identify the best partners for organizations looking to implement or optimize MLOps. Experience and expertise Choosing the right MLOps company depends on its experience in implementing ML projects and its expertise with tools such as Kubernetes, TensorFlow, and PyTorch. Client portfolio and case studies Analyzing completed projects and portfolios provides insight into how companies tackle challenges related to MLOps. Innovation and unique features The best companies offer innovative solutions, such as automated pipelines, model personalization, and comprehensive support throughout the entire ML lifecycle. Top 10 companies offering MLOps services Here is our curated list of the top 10 companies providing MLOps services. These firms excel in... --- ### MLOps vs LLMOps: Key differences for businesses > Discover key differences between MLOps and LLMOps, their benefits for businesses, and how to choose the right AI strategy to drive innovation - Published: 2024-12-13 - Modified: 2024-12-16 - URL: https://vstorm.co/mlops-vs-llmops/ - Categories: AI, LLMs, Machine Learning (ML) The modern business world is rapidly evolving with the advancement of artificial intelligence technologies. Concepts like MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations) have gained prominence, becoming critical elements in effectively managing AI-based projects. This article explores what these two approaches are, the benefits they offer to businesses, and their key differences. We will also examine which types of enterprises can benefit the most from each. The basics of MLOps MLOps is a set of practices, tools, and processes designed to manage the lifecycle of machine learning (ML) models. It addresses the growing needs of companies leveraging machine learning in their operations. Key features of MLOps include: Automation. Key processes such as building, testing, deploying, and monitoring models Efficient data management. Improved business outcomes through better handling of data Standardization of processes. Minimization of errors and enabling faster scaling What is LLMOps Large Language Model Operations is a specialized approach to operations involving large language models (LLMs), such as GPT or BERT. This relatively new area focuses on managing, training, and optimizing models that analyze vast amounts of textual data. Benefits of investing in LLMOps include: Advanced systems. Enhanced tools for text analysis Implementation of chatbots. Development of personalization tools Competitive advantages. Better customer engagement through advanced capabilities However, LLMOps requires advanced infrastructure and significant computational resources, making it accessible primarily to businesses with substantial budgets and technological expertise. The benefits of MLOps for businesses Implementing MLOps allows businesses to leverage the potential of machine learning models... --- ### What is MLOps? - Machine Learning Operations > MLOps streamlines Machine Learning workflows, enhancing scalability, optimizing costs, and ensuring reliable model deployment. - Published: 2024-12-11 - Modified: 2024-12-11 - URL: https://vstorm.co/what-is-mlops-machine-learning-operations/ - Categories: AI, Machine Learning (ML) What is MLOps? MLOps, short for Machine Learning Operations, is transforming how businesses leverage artificial intelligence to achieve strategic goals. It acts as the bridge between data science and IT operations, ensuring that Machine Learning (ML) models are not only developed effectively but also deployed, monitored, and maintained with precision. For organizations looking to maximize ROI from AI initiatives, MLOps provides the critical framework needed to scale efficiently and deliver consistent value. By integrating automation, collaboration, and monitoring tools, MLOps enables businesses to stay ahead in a competitive, data-driven world. The importance of MLOps Scaling machine learning within an organization often involves navigating a maze of challenges, from operational inefficiencies to unpredictable costs. MLOps emerges as the solution by aligning people, processes, and technology to streamline the entire lifecycle of ML models. It offers businesses key advantages that directly impact their bottom line: Scalability. Seamlessly expands infrastructure to accommodate growing workloads and user demands. Optimization. Enhances team productivity by automating routine tasks and minimizing bottlenecks. Deployment flexibility. Adapts to various deployment environments, including cloud, on-premises, or hybrid architectures, ensuring compatibility with existing systems. Performance monitoring. Proactively identifies potential issues, minimizing downtime and preserving customer experience. Cost reduction. Dynamically manages resources, activating computational power only when necessary to save on operational costs. By addressing these core challenges, MLOps ensures that machine learning initiatives are not only successful but also sustainable in the long term. Core components of MLOps To achieve its transformative potential, MLOps relies on several foundational components that work... --- ### LLMOps company: How to choose one? > Learn how to choose the right LLMOps company to deploy, optimize, and scale advanced AI and LLM solutions effectively. - Published: 2024-12-11 - Modified: 2024-12-11 - URL: https://vstorm.co/llmops-company-how-to-choose-one/ - Categories: AI, LLMs Operationalizing a large language model ( LLM ) effectively is critical for businesses seeking to unlock the full potential of AI-powered solutions. LLMOps (Large Language Model Operations) ensure these models are deployed, monitored, and maintained to deliver optimal performance at scale. However, success depends on selecting the right LLMOps company that understands your unique goals, offers technical expertise, and provides ongoing support. This guide outlines the key steps to finding and partnering with the ideal LLMOps provider. What is LLMOps? LLMOps refers to the practices, tools, and workflows involved in managing large language models in production environments. These operations include: Deployment. Efficiently setting up LLMs in production. Monitoring. Ensuring models perform reliably, with low latency and high accuracy. Optimization. Regularly fine-tuning models to improve performance. Maintenance. Updating models to handle new data or evolving requirements. A skilled LLMOps company integrates these elements into seamless workflows, ensuring your AI systems remain robust, scalable, and cost-effective. Benefits of partnering with an LLMOps company Working with an LLMOps company offers several advantages: Streamlined Operations. Automated workflows reduce complexity and manual intervention. Improved Scalability. Systems are designed to handle growing user demands and data loads. Enhanced Performance. Continuous optimization ensures accurate and efficient outputs. Cost Savings. Resource-efficient setups reduce infrastructure and operational expenses. Compliance Assurance. Expertise in GDPR, HIPAA, and other standards protects sensitive data. 1. Define Your Goals Every business has unique goals and challenges Before starting an LLMOps project, it’s crucial to define your goals. What do you expect the large language... --- ### How to enhance LLMs through LLM Ops? > Learn how LLM Ops ensures seamless deployment, scalability, and optimization of language models while minimizing risks and costs. - Published: 2024-12-11 - Modified: 2024-12-11 - URL: https://vstorm.co/how-to-enhance-llms-through-llm-ops/ - Categories: AI, LLMs Large Language Models (LLMs) have revolutionized business processes by enabling advanced automation and intelligent decision-making. However, their implementation and management require a sophisticated approach known as LLM Ops—the operationalization of LLMs. Unlike many approaches that delay operationalization and deployment until later phases, we prioritize these aspects from the very beginning. This approach minimizes technical debt and ensures clients avoid unforeseen costs when transitioning to production environments. As an end-to-end solution provider, we support our clients throughout the lifecycle of their models, from development and optimization to deployment and monitoring. In this article, we outline how our approach to LLM Ops improves model efficiency, addresses key challenges, and delivers tangible benefits to our clients. Our approach to LLM Ops We specialize in delivering comprehensive end-to-end LLM solutions that seamlessly integrate development, deployment, optimization, and scaling into a unified process. By leveraging our deep expertise in LLMs, we ensure efficient implementation tailored to specific project needs. Our approach minimizes risks, addresses potential challenges early, and avoids the technical pitfalls associated with incomplete operationalization. This holistic process empowers clients to unlock the full potential of their LLM-based systems, ensuring long-term scalability and success. Optimization Optimization is critical to ensuring LLMs operate at peak efficiency. Before diving into specific improvements, it’s essential to understand that optimization encompasses refining algorithms, improving model outputs, and utilizing hardware effectively to ensure peak performance. Reducing computational overhead: We refine algorithms to minimize unnecessary operations, ensuring faster response times and lower resource consumption. Improving model accuracy: By analyzing performance... --- ### Top 10 LLM Ops Companies > A list of the top 10 companies specializing in LLM Ops service. Leaders in the field operationalizing Large Language Models. - Published: 2024-12-06 - Modified: 2024-12-17 - URL: https://vstorm.co/top-10-llm-ops-companies-for-2025/ - Categories: AI, LLMs LLM Ops (Large Language Model Operations) refers to the set of practices, tools, and frameworks used to manage, monitor, and optimize large language models throughout their lifecycle. These practices ensure efficient deployment, fine-tuning, and seamless integration of LLMs into production environments. LLM Ops addresses key operational aspects such as model versioning, latency management, and scaling, ensuring businesses can maximize the potential of these powerful AI tools while maintaining security and performance. The role of LLM Ops companies LLM Ops companies provide specialized services to deploy and manage large language models in real-world scenarios. They focus on creating tailored workflows that optimize model performance, enhance data security, and deliver measurable business outcomes. These companies enable businesses to seamlessly integrate LLMs into their existing systems while ensuring ongoing performance monitoring and optimization. Key Responsibilities of LLM Ops Companies: Model deployment. Efficiently transitioning models from development to production. Performance monitoring. Continuous tracking of model performance to ensure high accuracy. Scalability management. Adapting models to handle varying loads and complex tasks. Security compliance. Ensuring data privacy and adhering to industry regulations. Why is LLM Ops important for businesses? As businesses increasingly adopt large language models to transform operations, the need for efficient management and optimization becomes crucial. LLM Ops ensures that these models operate reliably, securely, and cost-effectively while delivering high performance tailored to specific business requirements. 1. Efficiency and scalability LLM Ops ensures seamless operation of large language models even under heavy workloads, enabling businesses to scale their operations without compromising on performance.... --- ### LLM Ops: How to manage Large Language Models? > The possibilities, key benefits, applications, and challenges of LLM Ops in managing large language models. - Published: 2024-12-06 - Modified: 2024-12-06 - URL: https://vstorm.co/llm-ops-how-to-manage-large-language-models/ - Categories: AI, LLMs The rise of Large Language Models (LLMs), such as GPT and BERT, has transformed how businesses leverage AI for automation, personalization, and decision-making. These models, trained on vast datasets, possess capabilities that can significantly enhance business processes. However, deploying, maintaining, and scaling such powerful tools comes with challenges—ranging from computational costs to ensuring consistent performance in dynamic environments. LLM Ops— Operationalizing Large Language Models is a specialized approach to managing the lifecycle of these models—addresses these challenges by providing a structured framework for operation and optimization. In this article, we explore what LLM Ops is, why it is essential for businesses, and how it enables organizations to maximize the potential of LLMs. By the end of this guide, you’ll have a clear understanding of how LLM Ops can empower your business to overcome the challenges of modern AI deployment while ensuring sustainable growth and innovation. What is LLM Ops? LLM Ops is the backbone of effective AI deployment for Large Language Models. At its core, LLM Ops encompasses the tools, methodologies, and best practices required to manage LLMs throughout their lifecycle. It ensures these models function optimally from the moment they are introduced to a business environment to their real-world application and scaling. Core Components of Operationalizing Large Language Models Lifecycle Management. Support from training and fine-tuning to real-time deployment and updates. Data Optimization. High-quality, relevant, and secure data usage. Performance Monitoring. Tracks model accuracy, efficiency, and relevance to avoid pitfalls like performance degradation. LLM Ops bridges the gap between... --- ### AI Chatbot Developer: How to choose one? > AI chatbot developer for companies seeking automation is essential for implementing effective custom AI chatbot solutions. - Published: 2024-12-04 - Modified: 2024-12-04 - URL: https://vstorm.co/ai-chatbot-developer-how-to-choose-one/ - Categories: AI, LLMs AI chatbots are reshaping how businesses interact with customers, automate workflows, and provide personalized experiences. By leveraging technologies like natural language processing (NLP) and machine learning (ML), AI-powered chatbots offer scalable, interactive solutions that drive efficiency and engagement. However, the success of an AI chatbot project depends on choosing the right developer—one who can align the chatbot’s capabilities with your goals, deliver tailored solutions, and ensure long-term scalability. This guide outlines the essential steps to finding and partnering with the ideal AI chatbot developer. What is an AI Chatbot? An AI chatbot is a computer program that uses artificial intelligence (AI) to simulate human-like conversations with users. These chatbots are designed to understand and respond to customer inquiries, provide information, and assist with tasks in a conversational manner. By leveraging large language models (LLMs) and natural language processing (NLP) algorithms, AI chatbots can comprehend and generate human-like text responses, making interactions seamless and efficient. Benefits of AI Chatbots AI chatbots offer numerous benefits that can significantly enhance business operations: 24/7 Customer Support: AI chatbots provide instant responses to customer inquiries at any time of day, reducing wait times and improving overall customer satisfaction. Increased Efficiency: By automating routine tasks, AI chatbots free up human agents to focus on more complex issues, thereby increasing operational efficiency. Personalized Experiences: Utilizing customer data and preferences, AI chatbots can deliver personalized responses and recommendations, enhancing user engagement. Cost Savings: Implementing AI chatbots can reduce the need for a large human customer support team, leading... --- ### How to use AI Chatbots in your company? > Learn to implement AI chatbots effectively with practical steps and real-life examples to enhance your business operations. AI chatbot - Published: 2024-11-27 - Modified: 2024-12-11 - URL: https://vstorm.co/how-to-use-ai-chatbots/ - Categories: AI, LLMs AI-powered chatbots are no longer just an innovative idea—they’ve become a key tool for businesses looking to enhance efficiency, improve customer service, and drive growth. AI chat allows for the creation of customizable chatbots and AI assistants. From handling routine tasks to boosting engagement, chatbots can transform how your company operates. This guide will show you step-by-step how to implement an AI chatbot in your business, with practical tips, real-life examples, and a roadmap for success. What is an AI Chatbot? An AI chatbot is a tool designed to simulate human-like conversations with users. Unlike traditional bots, AI chatbots use advanced technologies such as natural language processing (NLP) and machine learning to understand user intent, remember context, and provide natural, dynamic responses. They can: Operate 24/7 without fatigue. Juggle multiple conversations simultaneously. Continuously learn and improve over time. Whether integrated into websites, apps, or messaging platforms, chatbots are used for tasks like answering customer inquiries, guiding purchases, or streamlining internal workflows. Definition of an AI Chatbot An AI chatbot is a sophisticated computer program that leverages artificial intelligence to simulate human-like conversations with users. An AI writer, on the other hand, focuses on generating written content like articles, stories, or poetry based on user input. Unlike traditional bots, AI chatbots utilize advanced technologies such as natural language processing (NLP) and machine learning algorithms to understand and respond to user inputs, whether they are text or voice commands. This allows AI chatbots to engage in more natural and dynamic interactions, providing... --- ### Top 10 Custom LLM Development Companies > A list of the top 10 companies specializing in custom LLM development. Leaders in the field of developing custom LLMs. - Published: 2024-11-26 - Modified: 2024-12-17 - URL: https://vstorm.co/top-10-custom-llm-development-companies-for-2025/ - Categories: AI, LLMs The demand for tailored Large Language Model (LLM) solutions is rapidly growing as businesses across every industry seek to transform their operations and leverage AI for personalized, efficient systems. Custom LLMs provide unparalleled advantages by automating processes, improving decision-making, and addressing unique industry-specific challenges. Here is a ranking of the top 10 companies specializing in custom LLM development, with Vstorm clearly leading the field. What is a custom Large Language Model? A custom LLM (Large Language Model) is a tailored version of an AI-powered language model designed to meet the specific needs of a business or industry. Unlike generic AI models, custom LLMs are fine-tuned using proprietary or specialized datasets to deliver highly relevant, accurate, and context-aware results. These models leverage natural language understanding to perform error-free document analysis and generate contextually relevant content, enhancing various business processes. The process involves: Fine-tuning: Adapting pre-trained models to fit unique use cases. Integration: Embedding the custom LLM seamlessly into existing systems. Optimization: Enhancing performance for real-world requirements. Custom LLMs are essential for maximizing efficiency, improving customer experiences, and ensuring data security. The role of custom LLM development companies Custom LLM development companies specialize in creating and fine-tuning tailored Large Language Models that address specific business needs. By leveraging advanced AI and NLP technologies, they help organizations enhance customer engagement, improve operational efficiency, and drive growth. Their work begins with data preparation and utilizes industry-specific data and minimal training data to develop highly accurate and optimized custom LLMs. These companies create solutions that... --- ### Comparing custom LLM software to LLM development > Key differences in choosing between custom llm-based software and llm development. How to choose you ideal solution. - Published: 2024-11-25 - Modified: 2024-11-25 - URL: https://vstorm.co/difference-between-custom-llm-software-and-llm-development/ - Categories: AI, LLMs Large Language Models (LLM) have become a cornerstone of modern technological solutions, enabling businesses to automate processes, personalize experiences, and analyze data at scale. Models like GPT and BERT are widely used to build innovative tools that support business growth. In this article, we explain the distinction between custom LLM-based software—tailored software solutions built on language models—and LLM development, which focuses on developing and optimizing these models. Understanding this difference, along with the importance of data security, will help you decide which approach best suits your needs. Understanding Large Language Models Large Language Models (LLMs) are a groundbreaking advancement in artificial intelligence, designed to understand, interpret, and generate human language. These models leverage deep learning techniques and Natural Language Processing (NLP) to perform a wide array of language-related tasks, such as text generation, translation, summarization, and sentiment analysis. By training on vast amounts of text data, LLMs learn intricate patterns and relationships within language, enabling them to generate human-like text and respond to natural language prompts with remarkable accuracy. How do LLMs work? At the core of LLMs is their ability to process and generate human language. They achieve this through deep learning algorithms that analyze extensive datasets, identifying patterns and structures in the text. This process allows LLMs to understand context, predict subsequent words, and generate coherent and contextually relevant responses. The training process involves feeding the model massive amounts of text data, which helps it learn the nuances of human language, including grammar, syntax, and semantics. As a... --- ### The role of RAG in automating enterprise workflows > Retrieval-Augmented Generation ( RAG ) technology enhances workflow automation and business process management for boosting efficiency. - Published: 2024-11-21 - Modified: 2024-12-11 - URL: https://vstorm.co/the-role-of-rag-in-automating-enterprise-workflows/ - Categories: AI, LLMs, RAG Introduction to Retrieval-Augmented Generation Retrieval-Augmented Generation (RAG) is a technology that combines the best features of two approaches: information retrieval and answer generation using language models. In a business context, RAG can play a crucial role in workflow automation, as it enables the rapid processing of large volumes of data and the use of this information for decision-making and business process management. With RAG, we can efficiently find and utilize the necessary information from various sources, such as databases, company documentation, or internal knowledge repositories. This is particularly useful when employees need quick access to reliable information or analysis to effectively manage complex tasks. Applications of RAG in business process automation One of the key applications of RAG in companies is the automation process in business process automation, which significantly enhances business operations. RAG works well in activities that require understanding context and processing large amounts of information, making it an ideal tool for optimizing work in various areas of business. 1. Customer service automation By using RAG, customer service operations can automatically respond to customer inquiries, using access to historical data and context. This approach allows for personalized responses and shorter problem-solving times, resulting in higher customer satisfaction. RAG not only provides quick responses but also learns from previous interactions, which continuously improves service quality. Customers receive more accurate answers, increasing their loyalty to the company. 2. HR support Human resources departments can use Retrieval-Augmented Generation technology in the recruitment process by automatically analyzing candidates’ resumes and matching them... --- ### RAG Developer: How to choose one? > RAG developer for companies seeking automation is essential for implementing effective custom Retrieval-Augmented Generation solutions. - Published: 2024-11-20 - Modified: 2024-11-22 - URL: https://vstorm.co/how-to-choose-rag-developer/ - Categories: AI, LLMs, RAG In today’s fast-paced world of AI, Retrieval-Augmented Generation (RAG) is transforming how businesses leverage data for efficiency, personalization, and innovation. Custom RAG solutions enhance the capabilities of generative AI by incorporating external information sources, thereby improving the quality and accuracy of responses. Large language models (LLMs) play a crucial role in RAG, as they generate content based on extensive datasets and utilize RAG techniques to provide timely and contextually relevant answers. RAG solutions are powering advanced chatbots, personalized customer support, and real-time data analysis, making it a critical tool for companies looking to stay competitive. However, successfully implementing custom RAG technology requires a specialized developer who can navigate its complexities. The right RAG developer can tailor solutions to your specific needs, ensure seamless integration, and provide long-term support. But how do you find the right company for such a crucial task? This guide is designed to help you through the process of choosing the right RAG developer. From defining your goals to making the final decision, here are the steps to ensure your project is in expert hands. 1. Define your goals Before starting any RAG development project, it’s crucial to establish clear objectives. This step is the foundation for all subsequent decisions and ensures that your project is aligned with your business priorities. Every business has unique goals and challenges No two businesses are alike. Your goals will depend on your industry, the size of your operations, and the specific problems you aim to solve. For instance, an e-commerce... --- ### Why should you secure LLM? > Why is it so important to secure LLM ? Also here are 7 solutions you can use to be sure your data is safe. - Published: 2024-11-20 - Modified: 2024-12-17 - URL: https://vstorm.co/why-should-you-secure-llm/ - Categories: AI, LLMs Securing your Large Language Models (LLMs) is crucial for protecting both your data and your business from a wide range of threats. Without proper security measures, a language model can become vulnerable to data breaches, unauthorized access, and malicious attacks. Failing to secure these systems can result in financial loss, damage to your organization’s reputation, and severe legal consequences, especially in industries with strict data protection regulations, such as healthcare or finance. When LLMs are used in environments that handle sensitive information, such as personal identifiers, financial records, or proprietary business data, any security lapse can lead to severe breaches. Moreover, unprotected LLMs can be manipulated to leak confidential information or be exploited through prompt injection attacks. Securing LLMs involves not only protecting the data they process but also ensuring that the models themselves, the infrastructure they run on, and the entire pipeline are safeguarded from external threats. Implementing a structured security framework is essential for businesses aiming to maintain regulatory compliance and ensure smooth operations. Security risks and threats Large language models (LLMs) come with several security risks and threats that need to be addressed to ensure their safe deployment. One of the primary concerns is the potential for data breaches, especially when sensitive information is stored or transmitted by the model. LLMs can also be targets for attacks such as prompt injection and model exploitation, which can compromise the model’s integrity and the quality of its outputs. Another significant risk is the misuse of LLMs for malicious purposes,... --- ### What is Natural Language Processing (NLP)? > This article explores how Natural Language Processing (NLP) drives innovation and efficiency across industries through practical applications - Published: 2024-10-25 - Modified: 2024-11-18 - URL: https://vstorm.co/what-is-nlp/ - Categories: AI, LLMs - Osoby: Antoni Kozelski In the fast-paced digital world, businesses are constantly looking for ways to improve efficiency, enhance customer experiences, and make data-driven decisions. One of the most transformative technologies driving these changes is Natural Language Processing (NLP). This branch of artificial intelligence focuses on enabling machines to understand, interpret, and generate human language, bridging the gap between people and technology in ways that were once unimaginable. Introduction to NLP Natural Language Processing (NLP) is a fascinating subfield of artificial intelligence (AI) that focuses on the interaction between computers and humans using natural language. By combining the expertise of computer science, linguistics, and machine learning, NLP enables machines to process, understand, and generate human language in a way that feels remarkably intuitive. The ultimate goal of NLP is to develop sophisticated algorithms and statistical models that can perform tasks requiring human-level understanding of language, such as text analysis, sentiment analysis, language translation, and speech recognition. Imagine a world where computers can not only understand what we say but also respond in a meaningful way. This is the promise of NLP, and it’s already transforming how businesses operate. From analyzing customer feedback to automating customer service interactions, NLP is making it possible for machines to understand and respond to human language with unprecedented accuracy and efficiency. Understanding Natural Language Processing: The foundation of human-machine communication Natural Language Processing combines computational linguistics and machine learning to analyze language in its natural form. Unlike traditional programming languages, human communication is complex, and filled with nuances, context,... --- ### How to prompt? Build the perfect prompt for your LLM > Prompt guide you need to know about to prompt your Large Language Model (LLM) and how to use it in your business. - Published: 2024-10-21 - Modified: 2024-12-17 - URL: https://vstorm.co/how-to-prompt-build-the-perfect-prompt-for-your-llm/ - Categories: AI, LLMs - Osoby: Antoni Kozelski Designing an effective prompt is essential for unlocking the full potential of large language models (LLMs). A well-structured prompt guides the model to generate accurate, relevant, and context-aware responses. In this article, we’ll walk through the key components of crafting the perfect prompt and provide practical examples of how to implement them. 1. Understanding Large Language Models Large language models (LLMs) are a groundbreaking type of artificial intelligence designed to process and generate human-like language. These models are trained on vast amounts of text data, allowing them to learn intricate patterns and relationships within human language. At the core of LLMs are artificial neural networks, specifically transformer models, which enable them to grasp the context and nuances of language with remarkable accuracy. The architecture of LLMs is built on the transformer model, a sophisticated framework that excels in understanding and generating natural language. This model uses a token vocabulary to break down text into manageable pieces, making it easier for the AI to process and generate coherent responses. The training data for LLMs is extensive, encompassing a wide range of texts from books, articles, websites, and more, which helps the model learn diverse language patterns. LLMs have a multitude of applications, from language translation and text summarization to question answering and content creation. They power chatbots, virtual assistants, and other generative AI tools, making them a valuable resource in various fields. However, it’s important to note that LLMs are not without limitations. They can sometimes produce errors, exhibit biases, or... --- ### What are Large Language Models (LLMs)? > Everything you need to know about Large Language Models (LLMs) and how to use them in your business. All in one article. - Published: 2024-10-16 - Modified: 2024-12-17 - URL: https://vstorm.co/what-are-large-language-models-llms/ - Categories: AI, LLMs - Osoby: Antoni Kozelski Large Language Models (LLMs) are a form of AI designed to understand and generate human language. Trained on vast amounts of text, they can process and create meaningful, coherent content, which makes them useful in automating tasks that involve language. LLMs are important because they enable businesses to increase efficiency and reduce costs by automating language-based tasks. Their accessibility allows companies of all sizes to benefit from AI technology, transforming how we interact with digital systems and making technology more intuitive and scalable. Definition and Importance Large Language Models Definition A large language models (LLMs) is a type of artificial intelligence algorithm that leverages deep learning techniques and vast datasets to understand, summarize, generate, and predict new content. These models are a form of generative AI specifically designed to generate text-based content. By analyzing patterns in the data they are trained on, LLMs can produce coherent and contextually relevant text, making them invaluable for a variety of applications, from automated content creation to sophisticated conversational agents. Importance of LLMs in Modern Technology Large language models are becoming increasingly crucial in modern technology due to their ability to enhance efficiency, effectiveness, and user experience across various domains. One of the key advantages of LLMs is their capability to generate high-quality content, including text, images, and even videos. This makes them indispensable for content creation, marketing, and media industries. Additionally, LLMs significantly improve customer service by providing 24/7 support, answering frequently asked questions, and handling customer inquiries with high accuracy. Their ability... --- ### How to choose the right LlamaIndex developer? > How does LlamaIndex help companies develop Large Language Models (LLMs) applications? Check out our insights as a LlamaIndex developer. - Published: 2024-10-11 - Modified: 2024-10-11 - URL: https://vstorm.co/how-to-choose-the-right-llamaindex-developer/ - Categories: AI, LlamaIndex, LLMs - Osoby: Antoni Kozelski In today's rapidly advancing field of AI and Natural Language Processing (NLP), leveraging large language models (LLMs) effectively is crucial for businesses aiming to stay competitive. Whether it's streamlining customer interactions, refining data analysis, or enhancing user experiences, LLM offer significant potential across sectors. However, to harness this potential, especially with LlamaIndex—a powerful tool designed to integrate LLMs into various applications—businesses need specialized expertise. Choosing the right development partner is key to achieving a successful LlamaIndex implementation. This guide will walk you through the steps to select a LlamaIndex development company that aligns with your needs. We'll cover critical considerations, potential challenges, and important questions to ask during the selection process to ensure your project is in good hands. 1. Define your goals Before starting a LlamaIndex project, it’s essential to have a clear understanding of your business objectives. This foundational step guides all subsequent decisions, ensuring that the technology delivers on your specific needs. Without a clear set of goals, even the most advanced solution may not achieve the desired outcomes. Unique goals and challenges for each business Each business has its own objectives and challenges. For some, the focus might be on automating customer service, while others might aim to improve decision-making through advanced data analysis. Clearly defining these priorities helps in setting realistic expectations and identifying the best path forward with LlamaIndex. Why businesses need LLMs and LlamaIndex Here are a few reasons why businesses are turning to LLMs and LlamaIndex: Automating complex language processing tasks Enhancing... --- ### What is LlamaIndex? New possibilities in development with LLMs > How does LlamaIndex help companies develop Large Language Models (LLMs) applications? Check out our insights as a LangChain developer. - Published: 2024-10-11 - Modified: 2024-10-23 - URL: https://vstorm.co/what-is-llamaindex-new-possibilities-in-development-with-llms/ - Categories: AI, LlamaIndex, LLMs - Osoby: Antoni Kozelski Welcome to LLM and LlamaIndex capabilities Large Language Models (LLMs) have transformed the way businesses interact with language, enabling computers to understand and generate human-like text. These AI models excel in tasks like content creation, language translation, and customer support automation. However, the true potential of LLMs is realized when they can seamlessly integrate with external data sources, a task made easier by LlamaIndex. Integrating own private data with public data is crucial in the development of applications utilizing LLMs. LlamaIndex development serves as a bridge, facilitating the connection between LLMs and external databases, documents, or APIs, which allows businesses to create advanced Natural Language Processing (NLP) applications. This makes LlamaIndex particularly useful in industries ranging from healthcare to finance, where processing large datasets is crucial. What is LlamaIndex, and how can it be used for large language models development? LlamaIndex is a framework that simplifies the development of applications powered by LLMs. It can handle various types of data, including unstructured data, which is crucial for improving the models' ability to recognize and interpret complex information. It streamlines the process by offering tools to connect LLMs with various external data sources, making it easier for developers to build intelligent applications. Whether it’s incorporating real-time data from a CRM or extracting insights from large text files, LlamaIndex allows businesses to harness the full potential of LLMs without needing deep technical expertise. It’s particularly effective for automating data-driven tasks and enhancing user interactions through chatbots or virtual assistants. Introducing LlamaIndex: A... --- ### How to secure data in LLM? [GUIDE] > Protect your data security and data privacy with LLMs. Learn how to safeguard your information and stay compliant with regulations. - Published: 2024-09-16 - Modified: 2024-10-24 - URL: https://vstorm.co/data-security-using-llms-guide/ - Categories: AI, LLMs - Osoby: Antoni Kozelski Why is data security so important when working with LLMs? The rise of Large Language Models (LLMs) in artificial intelligence has transformed the way businesses operate, offering advanced capabilities in data analysis, automation, and decision-making. However, with these advancements come significant data security and privacy concerns. Safeguarding sensitive information is now a top priority, especially for industries like healthcare, finance, public administration, e-commerce, and cloud service providers. These sectors manage vast amounts of confidential data, making it crucial to adopt robust risk management strategies to protect against potential threats, manage business risks, and maintain regulatory compliance. Understanding Risk Management Definition of risk management Risk management is a systematic process designed to identify, assess, and mitigate potential risks that could adversely affect an organization’s objectives, assets, or reputation. This comprehensive approach involves recognizing potential threats, evaluating their likelihood and impact, and implementing strategies to minimize their adverse effects. Effective risk management ensures that organizations are prepared to handle uncertainties and can safeguard their operations and interests. Importance of risk management in LLMs In the realm of Large Language Models (LLMs), risk management is indispensable. LLMs, with their intricate components and vast data processing capabilities, present unique challenges, particularly concerning data privacy. Effective risk management in LLMs is essential to prevent data breaches, mitigate biases, and address other potential threats. By implementing robust risk management strategies, organizations can ensure that their LLMs operate securely and efficiently, maintaining the integrity and confidentiality of the data they handle. Brief overview of the risk management... --- ### How to choose the right LangChain developer? > How does LangChain help companies develop Large Language Models (LLMs) applications? Check out our insights as a LangChain developer. - Published: 2024-09-06 - Modified: 2024-12-17 - URL: https://vstorm.co/how-to-choose-the-right-langchain-developer/ - Categories: AI, LangChain, LLMs - Osoby: Antoni Kozelski In today's fast-paced world of AI and natural language processing (NLP), the effective use of large language models (LLMs) has become essential for businesses looking to stay competitive. Whether it's automating customer service, enhancing data analysis, or improving user experiences, LLMs are unlocking incredible potential across industries. However, successfully integrating these models into your business requires specialized expertise for LangChain development company. This is where LangChain, a cutting-edge framework designed to connect LLMs with your applications, comes into play. Choosing the right development company to implement LangChain solutions for your business can be a game-changer. The right partner will not only help you leverage the power of LLMs but also tailor the solutions to meet your specific needs and objectives. But how do you find the right company for such a crucial task? This article was created to guide you through the process of selecting a LangChain development company. We’ll break down the key considerations, potential challenges, and critical questions to ask to ensure your project is in good hands. 1. Define your goals Before embarking on any LangChain development project, it's crucial to begin with a clear understanding of your business objectives. This first step is perhaps the most important, as it lays the foundation for all subsequent decisions. Without clear goals, even the best technology won't deliver the desired results. Every business has unique goals and challenges No two businesses are the same, and each one comes with its own set of goals and obstacles. Whether you're looking... --- ### What is LangChain? New possibilities for LLMs > How does LangChain framework help companies develop LLMs applications? Check out our insights as a LangChain developer. - Published: 2024-08-26 - Modified: 2024-10-25 - URL: https://vstorm.co/what-is-langchain-new-possibilities-in-development-with-llms/ - Categories: AI, LangChain, LLMs - Osoby: Antoni Kozelski LangChain is paving the way for a new era in AI development, making it easier than ever for businesses to harness the power of Large Language Models (LLMs). LangChain enables AI developers to integrate language models with external data sources, emphasizing its role as an open-source framework that connects powerful large language models to various external components for the development of advanced NLP applications. This article not only explores the framework’s potential but also highlights why now is the perfect time for companies to start integrating the framework into their AI strategies. Welcome to LLM and LangChain capabilities As AI continues to transform industries, businesses face the challenge of integrating advanced technologies like large language models (LLMs) into their operations. LangChain emerges as a crucial tool that not only simplifies this process but also empowers companies to stay competitive in an increasingly AI-driven world. The rise of AI has transformed industries across the globe, with language models leading the charge in innovation. From customer service to content creation, the capabilities of large language models (LLMs) have reshaped how businesses operate. As companies strive to harness the power of AI, the need for frameworks that simplify the development of LLM-based applications has become more apparent. This is where LangChain steps in—a framework designed to streamline and enhance the process of creating applications powered by LLMs. A key feature of LangChain is its ability to perform data analysis, which enhances the efficiency and accuracy of AI interactions. This capability allows LLMs to... --- ### How to data scraping using LangChain? > Check out real-world case studies on how data scraping using LangChain. Vstorm as an experts and leading LangChain developer. - Published: 2024-08-12 - Modified: 2024-12-17 - URL: https://vstorm.co/how-to-scrape-data-using-langchain/ - Categories: AI, LangChain, LLMs - Osoby: Antoni Kozelski Who are we? We are at the forefront of helping startups and tech companies grow as a dedicated LangChain development company. Using AI and software solutions, we tailor services, automate tasks, and improve decision-making in application development. This approach allows our clients to work smarter and more efficiently. In this case, we develop LLM-based solutions with LangChain. Specializing in LangChain development, we are excited to lead in adopting this technology. The LangChain framework plays a crucial role in creating AI workflows through interconnected components, enabling sophisticated application development. Our focus is on helping clients enhance integration, performance, and scalability using LangChain as one of our main technologies. Why do we choose LangChain technology as a core tech stack for data scraping? We use LangChain technology as a core component of our tech stack because of its open-source nature and the flexibility it offers. This choice aligns with our philosophy of adaptability and innovation in the fast-paced tech industry. Additionally, the LangChain libraries simplify the development of AI workflows by providing off-the-shelf chains and customizable components. We are particularly fond of LangChain due to the supportive and resourceful community surrounding it. The community’s willingness to help and the collaborative relationships we’ve built with LangChain’s development team and key engineers enhance our understanding and implementation of the technology. This allows for quicker and more effective commercial applications, including the fine tuning of language models to adapt to changing requirements and address post-deployment issues. In summary, our choice of LangChain development technology shows... --- ### Top 10 best LangChain development companies > Check out LangChain's top 10 best development companies that can help boost your projects. Find the perfect partner. - Published: 2024-08-08 - Modified: 2024-10-23 - URL: https://vstorm.co/top-10-best-langchain-development-companies/ - Categories: AI, LangChain - Osoby: Antoni Kozelski What is LangChain? LangChain is an open-source development framework designed to simplify the creation of applications using large language models (LLMs). It provides a set of tools, components, and interfaces that enable developers to build complex, interactive AI systems with ease. Why is LangChain Important? LangChain plays a crucial role in the context of AI development and natural language processing for several reasons. It streamlines the process of integrating LLMs into various applications, offering a modular approach that allows developers to combine different components flexibly. The framework facilitates the creation of more sophisticated AI systems by providing tools for memory management, prompt engineering, and chain-of-thought reasoning. Additionally, LangChain enables developers to build applications that can interact with external data sources and APIs, significantly expanding the capabilities of language models. Criteria for selecting best LangChain development companies. To determine the top LangChain development companies, we focused on these three key criteria: Developer expertise. Prioritized firms with a large number of highly skilled LangChain developers. Proven track record. Selected companies with a history of successful LangChain project implementations. Specialized knowledge. Chose firms with deep expertise in LangChain processing, including LLM integration and memory management. These criteria ensure the chosen companies are best equipped to harness LangChain's capabilities and deliver exceptional AI solutions. Top LangChain development companies 1. Vstorm Number of employees: 25+ Year of foundation: 2017 Country: Poland Vstorm is a custom AI and software development company that specializes in creating solutions powered by large language models (LLMs). Vstorm has quickly gained... --- ### Strategies for fostering High-Performance AI in enterprises > Discover the strategies for fostering High-Performance AI in enterprises and how you can use it in your company. Read it now. - Published: 2024-07-30 - Modified: 2024-10-23 - URL: https://vstorm.co/ai_in_enterprises/ - Categories: AI - Osoby: Antoni Kozelski Artificial intelligence (AI) is revolutionizing industries by enhancing automation, personalization, and decision-making processes. As AI technologies continue to advance, enterprises can adopt robust AI strategies to remain competitive in an increasingly digital world. This article provides comprehensive guidelines for fostering a high-performance AI startup within an enterprise, highlighting the benefits, challenges, and successful case studies that illustrate best practices. Current state of AI deployment Where are we now? Adopting AI technologies is becoming increasingly critical for maintaining a competitive edge. According to recent research, approximately 62% of enterprises have yet to explore or use AI/ML deployment, 22% are piloting these technologies, and only 7% have fully deployed them. Where will we be in 2030? Organizations implementing AI technologies have high expectations for the benefits they will gain. A significant 56% of these organizations expect AI to improve efficiency and productivity. Meanwhile, 32% are looking forward to cost reductions, and 31% anticipate that AI will drive innovation and growth within their operations. The AI market is set to experience remarkable growth over the next six years. It is projected to expand tenfold, with an annual growth rate (CAGR 2024-2030) of 46. 47%. This substantial growth is expected to increase the market volume from US$36 billion in 2024 to US$356. 10 billion by 2030. Vstorm This presentation was used and presented at the EIC conference in Berlin. Europe's leading event for the future of digital identities and cybersecurity. Here you can watch the speech of our CEO & Founder Antoni Kozelski https://www.... --- ### Advancing Text Analysis on images with LLMs > Discover the possibilities offered by AI like Text Analysis on images and how you can use it in your company. Read it now. - Published: 2024-07-03 - Modified: 2024-10-25 - URL: https://vstorm.co/advancing-text_analysis-on-images-with-llms/ - Categories: AI, LLMs - Osoby: Antoni Kozelski Text analysis on images, also known as Optical Character Recognition (OCR), has become a significant aspect of artificial intelligence (AI). This technology enables the extraction and analysis of text from images, such as scanned documents, photographs, and other visual media. With the proliferation of digital content, the ability to automatically read and interpret text from images has numerous applications, ranging from digitizing historical documents to enhancing accessibility features for the visually impaired. As digital transformation accelerates across industries, OCR technology is becoming increasingly essential for automating data entry, improving document management, and enhancing the accessibility of digital content. What is Text Analysis on images? Text analysis on images refers to the use of AI and machine learning techniques to identify and extract textual information from images. This process involves detecting text regions within an image, recognizing the characters, and converting them into machine-readable text. OCR is commonly used in various fields, including document management, data entry automation, and content indexing, enabling efficient data extraction from visual media. For instance, OCR can be used to convert printed books and articles into digital formats, allowing them to be easily searched and accessed online. Additionally, OCR technology can assist in translating text from images in different languages, aiding in international communication and collaboration. How does Text Analysis on Images work? Text analysis on images typically involves several stages: Image preprocessing The image is prepared for analysis through various preprocessing steps, such as noise reduction, binarization (converting the image to black and white), and... --- ### Advancing LLM Text Clustering > Discover the possibilities offered by AI like Text Clustering and how you can use it in your company. Read it now. - Published: 2024-06-27 - Modified: 2024-10-25 - URL: https://vstorm.co/advancing_text_clustering_with_llms/ - Categories: AI, LLMs - Osoby: Antoni Kozelski Text clustering is a technique in natural language processing (NLP) that enables the grouping of similar texts based on their content. This method has wide-ranging applications, from organizing large volumes of documents to improving search engines and enhancing customer service. By automatically categorizing texts, AI-powered text clustering helps in managing and extracting meaningful insights from massive textual data, addressing a few common problems such as customer segmentation, anomaly detection, and text classification, using efficiency and innovation across various industries. What is Text Clustering? Text clustering involves the automatic grouping of a collection of text documents into clusters, where documents within the same cluster are more similar to each other than to those in other clusters. This unsupervised machine learning technique does not require labeled data, making it particularly useful for exploratory data analysis. Text clustering can be applied to emails, articles, social media posts, customer reviews, and any other text-based data to uncover patterns, trends, and relationships. For example, in a customer service setting, clustering can help identify common issues faced by customers by highlighting which feature is the most significant, enabling businesses to address these problems with AI more effectively. How does Text Clustering work? Text clustering generally involves the following steps: Preprocessing Text data is cleaned and standardized, involving steps like tokenization (breaking text into words or phrases), removing stop words (common words like “and”, and “the”), and stemming or lemmatization (reducing words to their root forms). This step is crucial to ensure that the data is in... --- ### Advancing AI Translation with LLMs > Discover the possibilities offered by Translation AI and how you can use it in your company. Read it now.. - Published: 2024-06-11 - Modified: 2024-10-25 - URL: https://vstorm.co/what-is-translation/ - Categories: AI, LLMs - Osoby: Antoni Kozelski Artificial Intelligence has significantly impacted various fields, including natural language processing (NLP). One of the most transformative applications of NLP is translation. AI-powered translation tools have revolutionized the way we communicate across different languages, breaking down language barriers and facilitating global interactions. The ability to translate text and speech accurately and efficiently has vast implications for businesses, governments, education, and personal communication. This chapter delves into the intricacies of AI translation, exploring its mechanisms, tools, benefits, and challenges. What is Translation? AI Translation refers to the use of artificial intelligence, particularly machine learning and deep learning techniques, to translate text or speech from one language to another. Unlike traditional translation methods that rely heavily on human translators, AI translation leverages large datasets and advanced algorithms to perform translations quickly and accurately. For instance, AI translation systems can process millions of documents in seconds, providing immediate results that would take human translators much longer to achieve. Additionally, AI can handle a wide array of languages and dialects, making it a versatile tool for global communication. How does Translation work? AI Translation typically involves several stages: Data collection Large datasets of parallel texts (same text in different languages) are gathered. These datasets often include texts from books, websites, and other sources that have been translated by humans, providing a rich source of information for training AI models. Training models Machine learning models, such as neural networks, are trained on these datasets to understand the nuances and patterns of languages. For example, a... --- ### Advancing Sentiment Analysis with LLMs > Discover the possibilities offered by Sentiment analysis and how you can use it in your company. Read it now. - Published: 2024-06-07 - Modified: 2024-10-25 - URL: https://vstorm.co/what-is-sentiment-analysis/ - Categories: AI - Osoby: Antoni Kozelski Sentiment analysis, a prominent application of text classification, has gained significant traction in recent years. By analyzing text to determine the sentiment behind it—whether positive, negative, or neutral—sentiment analysis provides invaluable insights across various domains such as customer service, market research, and social media monitoring. This chapter delves into the intricacies of sentiment analysis, exploring its workings, implementation, techniques, and benefits. As organizations increasingly seek to understand their customers and stakeholders, sentiment analysis emerges as a crucial tool for capturing the nuances of human emotions and opinions embedded in textual data. What is Sentiment Analysis? Sentiment analysis (SA), also known as opinion mining, is a subfield of natural language processing (NLP) that focuses on identifying and categorizing opinions expressed in a piece of text. The primary goal is to determine the writer's attitude toward a particular subject. This can range from assessing customer feedback on a product to gauging public opinion on social issues. For instance, companies might analyze product reviews on e-commerce websites to gauge customer satisfaction, or political analysts might study social media posts to understand public sentiment about a policy or candidate. The ability to automatically process vast amounts of text and derive meaningful insights makes sentiment analysis a powerful tool in various sectors. How does Sentiment Analysis work? SA operates by processing and analyzing text data through various NLP techniques. Initially, the text is preprocessed to remove noise and normalize the data. This involves tokenization, lemmatization, and the removal of stop words. Following this, machine learning... --- ### Advancing Reasoning with LLMs > How Large Language Models are transforming reasoning processes across diverse domains, enhancing analytical capabilities and decision-making. - Published: 2024-06-05 - Modified: 2024-10-25 - URL: https://vstorm.co/the-impact-of-llms-on-reasoning/ - Categories: AI, LLMs - Osoby: Antoni Kozelski Reasoning is a cornerstone of artificial intelligence, enabling systems to process information, conclude, and make informed decisions. Unlike simple data processing or pattern recognition, reasoning involves a deeper understanding of relationships and the application of logical rules to infer new knowledge. This capability is crucial in AI systems that must solve complex problems, explain their actions, and adapt to new situations. What is Reasoning? Reasoning in AI refers to the process of drawing logical conclusions from available information. It involves using known data, rules, and logic to infer new knowledge, make predictions, or decide on the best course of action. This AI can be categorized into several types, including deductive, inductive, and abductive reasoning, each serving different purposes in AI systems. Deductive reasoning involves deriving specific conclusions from general principles, such as using mathematical theorems to solve problems. Inductive reasoning, on the other hand, involves generalizing from specific instances to broader generalizations, such as predicting future trends based on historical data. Abductive AI involves forming the most likely explanation for a set of observations, commonly used in diagnostic systems. How does Reasoning work? Reasoning systems typically operate by applying logical rules to a knowledge base. These rules can be predefined by experts or learned from data using machine learning techniques. The reasoning process involves: Data gathering Collecting relevant information from various sources, such as databases, sensors, or user inputs. Rule application Using logical rules to process the information, which may involve if-then statements, probabilistic rules, or fuzzy logic. Inference Drawing... --- ### Advancing LLM Semantic Search > The integration of Large Language Models (LLMs) in enhancing semantic search capabilities within the field of information retrieval (IR). - Published: 2024-05-30 - Modified: 2024-10-25 - URL: https://vstorm.co/semantic-search/ - Categories: AI, LLMs - Osoby: Antoni Kozelski In the modern era of information overload, finding the right information quickly and accurately is crucial. Traditional keyword-based search systems have their limitations, often failing to understand the context and meaning behind user queries. This is where Large Language Models (LLMs) and information retrieval (IR) come into play, enhancing semantic search capabilities. They revolutionize the way we access data, making searches more intuitive and results more relevant. This chapter delves into the concepts, workings, implementation, techniques, benefits, and challenges of information retrieval and semantic searching. Understanding these advanced search mechanisms is essential for businesses and individuals alike, as they navigate vast amounts of data in search of actionable insights. What is Semantic Search? Information retrieval (IR) refers to obtaining relevant information from a large repository, typically a database or the internet, in response to a user query. Semantic searching, on the other hand, enhances IR by understanding the context and intent behind the search terms. Unlike traditional searches that rely heavily on exact keyword matches, semantic search aims to comprehend the meaning and relationships between words, providing more accurate and contextually relevant results. For example, if a user searches for “apple,” a traditional search might return results about the fruit and the technology company indiscriminately, while a semantic search would use contextual clues to prioritize results that match the user’s intended meaning. Embedding models, such as BERT or sentence-transformers, are critical for generating text embeddings and optimizing applications for semantic search, thereby enhancing overall performance. An example of such a... --- ### Advancing AI Question Answering with LLMs > Learn effective methods for Question Answering AI, helping you quickly grasp the main ideas from long articles and documents. - Published: 2024-05-29 - Modified: 2024-10-28 - URL: https://vstorm.co/what-is-question-answering-llms/ - Categories: AI, LLMs - Osoby: Antoni Kozelski Question-answering (QA) systems are a cornerstone of artificial intelligence (AI) and Large Language Models (LLMs), designed to automatically answer questions posed by humans in natural language. These systems have evolved from simple keyword-based searches to sophisticated models capable of understanding and generating human-like responses. As a key application of natural language processing (NLP), QA systems are widely used in customer service, search engines, and virtual assistants. Over the past few decades, machine learning and deep learning advancements have significantly enhanced the capabilities of QA systems, enabling them to handle a wider variety of queries with greater accuracy and efficiency. These advancements have also enabled the creation and deployment of tailored QA projects through custom question answering, which includes features such as authoring, training, and publishing processes, as well as integration into the development lifecycle. What is Question answering? Question answering involves the extraction and generation of information in response to queries. Unlike traditional information retrieval systems that provide a list of documents, QA systems aim to give precise answers to questions. This involves understanding the context, semantics, and intent behind the question to deliver accurate and relevant responses. For example, if a user asks, “What is the capital of France? ” a QA system would directly answer “Paris” rather than providing links to articles about France. This ability to provide concise and direct answers makes QA systems highly valuable in various applications, from virtual assistants like Siri and Alexa to customer support chatbots that handle routine inquiries. How does it... --- ### Advancing Text Summarization with LLMs > Learn effective methods for summarizing text, helping you quickly grasp the main ideas from long articles and documents. - Published: 2024-05-22 - Modified: 2024-10-25 - URL: https://vstorm.co/all-you-have-to-know-about-text-summarization/ - Categories: AI, LLMs - Osoby: Antoni Kozelski In our digital era, the volume of information available can be overwhelming. Text Summarization (TS) has emerged as a crucial component in the field of Text Generation, simplifying complex content into manageable, digestible summaries. This capability is vital for professionals like journalists, content creators, educators, and researchers who deal with copious amounts of information, enabling them to distill essential insights and communicate them efficiently. What is Text Summarization? Text Summarization refers to the process within Artificial Intelligence focused on reducing a lengthy document into a brief, concentrated version that encapsulates its core information and overall meaning. This technology is crucial in numerous contexts: It allows for the rapid understanding of lengthy articles, research papers, or detailed reports by distilling their essential content. It supports readers in grasping the main ideas without the necessity of navigating through dense material, thereby saving time and enhancing comprehension. In professional settings, Text Summarization aids in managing the deluge of information by transforming extensive documentation into easy-to-digest summaries, thus boosting efficiency and focus. How does Text Summarization work? The methodology behind Text Summarization involves several intricate steps that utilize advanced natural language processing (NLP) techniques to transform full texts into summaries: Pre-processing This critical initial step involves preparing the text for summarization. It includes cleansing the text by removing superfluous elements like excessive formatting, irrelevant data, and errors. This phase also involves standardizing the text to ensure consistency in presentation and readability. Identification of key points Algorithms analyze the text to determine which parts carry... --- ### What is Information Extraction using LLMs? > IE emerges in making sense of this data deluge, transforming unstructured data into structured actionable information. AI for companies - Published: 2024-05-15 - Modified: 2024-12-17 - URL: https://vstorm.co/implementing-information-extraction/ - Categories: AI, LLMs - Osoby: Antoni Kozelski In our increasingly digital world, the sheer volume of data generated every day presents both opportunities and challenges. Information Extraction (IE) emerges as a critical technology in making sense of this data deluge, transforming unstructured or semi-structured data into structured, actionable information. This capability is indispensable for professionals like data scientists, AI researchers, software developers, and business analysts. They rely on IE to parse through vast amounts of textual data, extract meaningful insights, and ultimately enhance business intelligence and analytics initiatives. What is Information Extraction? Information Extraction refers to a set of methodologies within Artificial Intelligence (AI) aimed at systematically extracting specific information from unstructured and semi-structured data sources. This process is needed in: Identifying and categorizing unique data elements called entities—such as names, dates, places, financial figures, and product names—allows different industries to tailor information to specific operational needs, enhancing data accuracy and relevance in decision-making processes. Organizing data into a structured format Enabling easy storage, search, and analysis of data IE is crucial for creating efficient databases, enhancing content indexing, and supporting complex decision-making processes across various industries. Large Language Models (LLMs) significantly enhance the capabilities of Information Extraction (IE) systems. These advanced AI tools are trained on diverse and extensive datasets, allowing them to perform complex language understanding tasks, including accurately identifying and categorizing various data elements known as entities—such as names, dates, places, financial figures, and product names—within unstructured or semi-structured texts. How does Information Extraction work? The process of AI like Information Extraction (IE) involves... --- ### How Large Action Models Are Transforming Industries? > The transformative impact of Large Action Models (LAM) across industries, highlighting their capabilities, applications, and challenges. - Published: 2024-04-16 - Modified: 2024-12-17 - URL: https://vstorm.co/how-large-action-models-are-transforming-industries/ - Categories: AI, LLMs - Osoby: Antoni Kozelski In a time of rapid technological progression, Large Action Models (LAMs) stand as transformative forces reshaping industry landscapes. This article explores the significant role and impact of LAMs, highlighting their features, uses, and the challenges they introduce. LAMs mark a significant advancement by broadening AI capabilities from mere understanding to executing sophisticated tasks, offering remarkable improvements in operational efficiency, decision-making processes, and customer service personalization across different sectors. What is LAM? Large Action Models are advanced technological systems designed to analyze big data, predict trends, and automate tasks with high precision. They're built using complex algorithms and machine learning, allowing them to understand and act upon vast amounts of information quickly. LAMs can adapt and learn from new data, making them incredibly efficient at improving processes, personalizing experiences, and making smart decisions in various industries. Essentially, they're like highly intelligent assistants that can help businesses operate more effectively and stay ahead in their market. Capabilities of Language Action Models The concept of LAM represents a significant advancement of natural language processing, positioning itself as the next step following the foundational Large Language Models (LLM). This transition from LLM to LAM marks a leap forward in the development of language technologies. LLM and LAM might look similar at first but we'll take a closer look at what sets them apart, focusing on the unique things each one can do. Learning basis: LLM: Trained primarily on textual data to understand and generate human-like text. LAM: Trained not only on textual data but... --- ### What Is Retrieval-Augmented Generation (RAG) for LLMs > RAG transforms LLM-based AI applications by incorporating up-to-date, specific data, making them better suited to real-time needs. - Published: 2024-04-09 - Modified: 2025-05-07 - URL: https://vstorm.co/the-power-rag-in-llm/ - Categories: AI, LangChain, LLMs, RAG - Osoby: Antoni Kozelski In the evolving field of AI, new technologies continually expand what's possible. One significant advancement is Retrieval-Augmented Generation (RAG), which combines extensive databases with powerful computing to advance AI. RAG improves Large Language Models (LLMs) by enabling them to use external data instantly, offering a more versatile approach to AI applications. This discussion delves into how RAG works, its influence across various sectors, and how it might shape the future of AI. What is RAG? Retrieval-augmented generation is a sophisticated approach that merges the capabilities of large language models with advanced retrieval techniques. This architecture enables LLMs to pull in and utilize information from external, specific sources like proprietary databases or the internet in real time. By doing so, RAG significantly improves the accuracy and relevance of the outputs produced by these AI applications. The inclusion of such precise, contextually relevant data into the AI's workflow allows it to perform tasks with a higher degree of precision. This is particularly valuable when dealing with proprietary, private, or constantly changing information, where the direct application of AI can greatly benefit from the most current and specific data available. In essence, RAG enriches the foundation upon which AI models operate, providing them with a wider pool of information to draw from. This not only enhances their performance in generating accurate and contextually appropriate responses but also broadens the scope of tasks they can effectively tackle. Through RAG, AI applications become more intelligent, adaptable, and capable of handling complex, dynamic scenarios, making this... --- ### Happy Easter Holiday > Vstorm wishes you a happy Easter. Thank you for being an indispensable part of our story. - Published: 2024-04-04 - Modified: 2024-10-23 - URL: https://vstorm.co/happy-ester-holiday-vstorm/ - Categories: Community, Partnership - Osoby: Antoni Kozelski As the spring season blossoms, we at Vstorm are filled with gratitude and want to extend our warmest Easter greetings to you. This time of year, as nature reawakens, symbolizes renewal and growth, and we hope your Easter is brimming with joy, peace, and rejuvenation. Whether you’re embarking on an outdoor adventure to enjoy the fresh spring air or finding serenity in the comfort of your home, we wish you a delightful Easter and a season filled with prosperity and well-being. Reflecting on the past few months, we’ve journeyed through exciting developments and breakthroughs, embraced the ever-evolving landscape of AI & LLMs, and have been honored with industry accolades that underscore our commitment to innovation. These strides forward were not solitary achievements but were made possible through the strength of our collective efforts and, most importantly, your unwavering support and collaboration. As we look forward to the unfolding chapters of 2024, we’re energized by the prospects that lie ahead. Your engagement and partnership are the keystones of our existence and success. We are genuinely thrilled to continue this journey with you by our side, fostering growth and exploring new horizons together. Here’s to celebrating the spirit of Easter and welcoming a splendid spring season. Your participation in our Vstorm community enriches us in countless ways, and we eagerly anticipate crafting an even more remarkable year together. Thank you for being an indispensable part of our story. Let’s embark on this next phase with hope and enthusiasm, aiming to make 2024... --- ### The Impact of LLM on Sales Strategies > AI and LLM transform sales with personalized communication, efficient strategies, and data-driven insights for better customer engagement. - Published: 2024-02-29 - Modified: 2024-12-17 - URL: https://vstorm.co/the-impact-of-llm-on-sales-strategies-in-2024/ - Categories: AI, LLMs - Osoby: Antoni Kozelski In the swiftly evolving world of technology, Large Language Models (LLMs) have carved out a niche, becoming a cornerstone in the advancement of various sectors. These AI-driven tools, known for their ability to understand, generate, and interact with human language at an unparalleled scale, are now making significant inroads into the sales industry. This exploration seeks to demystify the application of LLMs within sales, spotlighting their advantages, practical uses, and the challenges they present. Large Language Models (LLM) represent a subset of artificial intelligence, specifically within natural language processing (NLP), that are trained on extensive corpora of text data. Through techniques like deep learning and transformer architectures, LLMs are capable of understanding, generating, and engaging with human language at a level that approaches natural human comprehension. These models utilize massive datasets to learn linguistic patterns, context, and semantics, enabling them to perform a wide range of language-based tasks. In the context of sales, LLMs apply this capability to automate customer communications, analyze customer feedback and behavior, and generate actionable insights from unstructured data, thereby supporting more personalized and data-informed sales strategies. The use cases of integrating LLMs into Sales Crafting effective sales strategies: Effective sales strategies blend digital engagement, thought leadership, and targeted outreach like inbound lead prioritization, detailed prospect analysis, and the strategic use of free trials, alongside the traditional cold calling approach. These components act as navigational tools that guide sales teams through the competitive marketplace, driving them toward their goals. By adopting such a multifaceted approach, sales... --- ### How can LLM be integrated with CRM to boost the sales team? > Integration of LLMs with CRM systems, offering insights into enhancing sales team efficiency and personalizing customer engagement - Published: 2024-02-28 - Modified: 2024-10-23 - URL: https://vstorm.co/how-can-llm-be-integrated-with-crm-to-boost-the-sales-team/ - Categories: AI, LLMs - Osoby: Antoni Kozelski The modern business world is fiercely competitive, requiring sales teams to constantly find new ways to improve their performance and keep a step ahead of their rivals. Among the technological advancements making waves recently, Large Language Models stand out. These powerful tools offer a wealth of possibilities to reshape how sales teams communicate with their customers trought CRM, manage their daily tasks, and enhance their ability to forecast and predict outcomes accurately. In this article, we'll delve into the advantages and real-world uses of integrating LLMs with Customer Relationship Management (CRM) systems. We'll explain how LLMs can make customer interactions more personalized, streamline sales operations, refine sales forecasting and predictions, and redefine sales strategies. Additionally, we'll look at how LLMs can foster better teamwork within sales departments, offer tailored training suggestions, improve the management of sales territories, and encourage innovation and experimentation. What is an LLM? Large Language Models are advanced artificial intelligence systems designed to understand, generate, and interpret human language at scale. They are trained on extensive datasets, encompassing a wide range of human discourse, enabling them to perform tasks such as text generation, translation, summarization, and sentiment analysis with high accuracy. LLMs leverage deep learning techniques, particularly transformer architectures, to analyze and produce language, making them invaluable tools for natural language processing (NLP) applications across various industries. The amazing thing about LLMs is that they get better the more they're used. They adapt and learn, making them great for personalizing responses and automating tasks that involve language.... --- ### FinTech in 2024: the role of LLMs and AI in finance > AI in finance and LLMs elevate customer service, streamline compliance & improve decision-making, optimizing operations. - Published: 2023-12-22 - Modified: 2024-12-17 - URL: https://vstorm.co/ai-and-llm-in-fintech-transforming-the-future-of-finance/ - Categories: AI, LLMs - Osoby: Antoni Kozelski The financial sector is undergoing a transformative shift, driven by the adoption of Artificial Intelligence (AI) and Large Language Models (LLMs). These technologies are redefining financial services, bringing innovative perspectives and capabilities. An International Monetary Fund report highlights AI's significant impact on financial operations and decision-making, showcasing its pivotal role in the industry. Explore the future of finance through the lens of AI and LLMs in FinTech. This transformation is revolutionizing the way financial institutions operate, interact with customers, and make strategic decisions, signaling a new era in the industry where traditional practices are being augmented or completely redefined by more efficient, AI-driven methods. Key benefits and impact AI in Finance The financial sector is at the cusp of a revolutionary transformation, largely driven by the integration of cutting-edge technologies like Artificial Intelligence (AI) and Language Language Models (LLMs). This evolution is not just a fleeting trend but a substantial shift in how financial services operate and interact with their customers. Delving into the core aspects of this transformation reveals the multifaceted impact of AI and LLM in FinTech: Strategic decision-making enhanced The role of AI in finance goes beyond basic analytics. It encompasses a sophisticated analysis of complex datasets, providing unparalleled insights. This capability enables financial institutions to make more informed, strategic decisions, particularly in areas such as investment strategies and financial planning. By leveraging AI, firms can forecast market trends and customer behaviors, leading to proactive and precise financial decision-making. Operational efficiency boosted AI's influence in streamlining operations... --- ### Happy Christmas and Cheers to 2024! > Happy Christmas and Cheers to 2024! - Published: 2023-12-21 - Modified: 2024-10-23 - URL: https://vstorm.co/happy-christmas-and-cheers-to-2024/ - Categories: Community, Partnership As the year wraps up, we at Vstorm just wanted to take a moment to say a big thank you and send some holiday cheer your way. We hope your holidays are filled with fun and relaxation. Whether you're out there braving the cold for a winter run or just kicking back at home, we wish you a wonderful Christmas time and a New Year full of good health and happiness. This year has been pretty busy, marked by new ventures and partnerships, a pivot towards AI & LLMs, and recognition as an AI leader by Clutch. We faced challenges head-on, together. Looking ahead to 2024, we're excited about what's to come. Your presence means the world to us, and we can’t wait to keep the momentum going into the new year. Here's to a fantastic holiday season and an even better New Year. Thanks for being part of our Vstorm circle. Let's make 2024 amazing! Vstorm Team. --- ### Use-Cases of LLMs in AdTech > LLMs in AdTech are more than efficiency tools; they are innovation drivers, reshaping how advertising is conceptualized and executed. As these technologies evolve, we anticipate further groundbreaking applications in AdTech. - Published: 2023-11-16 - Modified: 2024-10-23 - URL: https://vstorm.co/use-cases-large-language-models-in-adtech/ - Categories: AI - Osoby: Antoni Kozelski Imagine a world where every advertisement you see feels like it's speaking directly to you, where brands understand your needs before you even articulate them. This is not a futuristic fantasy; it's the present reality in the realm of AdTech, thanks to Large Language Models (LLMs) like GPT-3. In 2023, the AdTech industry, valued at over $400 billion (Statista), is undergoing a seismic shift. LLMs are at the heart of this transformation, heralding a new era of personalized and efficient advertising. A report by McKinsey & Company reveals that businesses that adopt AI technologies in marketing and sales can see a 15-20% increase in ROI (McKinsey & Company). LLMs, with their ability to analyze and process vast amounts of data, are playing a pivotal role in realizing these gains. By crafting messages that resonate on a personal level, these models are not just changing how ads are made; they're redefining the relationship between brands and consumers. Personalized content creation Large Language Models (LLMs) in AdTech are revolutionizing ad copy creation, tailoring content to individual audience segments. This personalized approach, driven by consumer behavior and preference data, enhances user experience and campaign effectiveness. A real-life example is Spotify's personalized playlists, which use similar technology to curate music based on individual listening habits, significantly boosting user engagement. Research by Forbes corroborates the effectiveness of personalized ads, noting they significantly boost engagement rates (Forbes). Predictive analysis and trend forecasting LLMs analyze extensive datasets to accurately predict trends and consumer behaviors. This capability is... --- ### Large Language Models in Telecommunication > LLMs in the telecommunication. From customer service to operational optimizations, LLMs and AI are setting new standards in efficiency. - Published: 2023-11-15 - Modified: 2024-10-23 - URL: https://vstorm.co/large-language-models-in-telecommunication/ - Categories: AI The telecommunication sector has always been at the forefront of technological innovation. The recent integration of Large Language Models (LLMs) marks another leap forward. These sophisticated AI systems are not just reshaping customer interactions but are also redefining operational efficiencies. A 2022 study by Deloitte highlights a 30% increase in customer satisfaction in companies employing AI-driven solutions, underscoring the burgeoning role of LLMs in telecom. LLMs like OpenAI's GPT series have transcended traditional Natural Language Processing applications. Their adoption in the telecom sector, though in nascent stages, is progressively unfolding, showcasing their potential in diverse operational aspects . Looking ahead, the influence of LLMs in telecommunications is poised to grow exponentially. McKinsey & Company's research indicates a transformative potential for AI in reshaping service delivery and enhancing customer experiences in the telecom sector. The prospect of AI-driven personalized telecom services is not just a possibility but an impending reality. Understanding LLMs and their capabilities Large Language Models like GPT-3 represent the pinnacle of AI's ability to process and generate human-like text. These models absorb vast amounts of data, learning intricate language patterns and nuances. Their proficiency in mimicking human conversation makes them invaluable in telecommunications, where effective communication is crucial. GPT-3, for instance, has demonstrated remarkable capabilities in generating responses that are indistinguishable from human text, opening new avenues for automated yet personalized customer interactions. At their core, LLMs utilize transformer-based architectures with self-attention mechanisms. This architecture allows them to process vast amounts of text data, capture long-range dependencies, and... --- ### Collaborative synergy: Vstorm x Generative AI Conference > Reflecting on Vstorm’s participation in the Generative AI Conference, it's evident that the company is not just riding the AI wave but actively shaping its course in MarTech. - Published: 2023-11-15 - Modified: 2024-10-09 - URL: https://vstorm.co/collaborative-synergy-vstorm-x-generative-ai-conference/ - Categories: AI, Partnership The partnership between Vstorm and the Generative AI Conference represents a collaboration in the field of artificial intelligence (AI). This article provides an overview of this alliance, focusing on the roles of both entities and the influence of Francesca Tabor, the Conference’s founder. The Generative AI Conference's contributions to AI The Generative AI Conference, a hub for AI advancements, plays a keyl role in shaping the discussion in the field. It serves as a vital platform for exchanging knowledge and showcasing emerging technologies, bringing together a diverse array of AI experts, researchers, and practitioners. These gatherings are instrumental in shaping the discussion around AI's trends, challenges, and potential future paths. The Genesis of the partnership The partnership took root at the Generative AI Conference held virtually on October 25th. Among the attendees was Vstorm, represented by CEO Antoni Kozelski, who brought to the table profound insights into the integration of Large Language Models (LLMs) in marketing technology (MarTech). Vstorm's role at the conference Vstorm's engagement in the conference was a reflection of its deep commitment to advancing AI in the business sphere. Kozelski’s presentation, "Utilizing LLMs in Your Company," offered a practical perspective on AI applications, resonating well with the conference's goal of bridging theory and practice in AI. A Convergence of ideas and innovation The conference served as a melting pot for innovative thoughts, featuring industry leaders like Rifah Nawar from Writesonic and Sasha Wallinger from Blockchain Style Lab. This gathering underscored the versatile applications of AI across various... --- ### Vstorm Honored as a Clutch Champion for 2023 > Vstorm Clutch Champion 's award in 2023 highlights its status as an esteemed AI development company. This award is a testament to Vstorm's expertise, quality service, and client-focused approach. - Published: 2023-11-15 - Modified: 2024-10-09 - URL: https://vstorm.co/vstorm-honored-as-a-clutch-champion-for-2023/ - Categories: AI, Partnership In the competitive landscape of AI development, recognition for exceptional service and expertise is a significant achievement. Vstorm has recently been honored as a 2023 Clutch Champion, a leading global marketplace for B2B service providers. The Clutch Champion title is awarded to the top 10% of companies on the platform, highlighting those who have demonstrated industry leadership and delivered outstanding results compared to their peers. Vstorm Clutch Champion achivement in context This award for Vstorm comes as a result of diligent work in the field of AI development. The selection criteria for the Clutch Champion award are rigorous, focusing on industry expertise and consistent performance excellence. Vstorm's inclusion in the 2023 Fall Clutch Champions was driven by new, verified client reviews, emphasizing the company's commitment to client satisfaction and high-quality service delivery. Client reviews as a measure of success Vstorm’s recognition is largely attributed to positive client feedback. These reviews not only commend Vstorm for its technical capabilities in AI development but also highlight the company’s dedication to understanding and effectively meeting client needs. Such client endorsements are crucial in establishing Vstorm's reputation as a reliable and competent player in the AI development sector. Remarks from Clutch CEO Sonny Ganguly Sonny Ganguly, CEO of Clutch, commented on the significance of the award: “The Clutch Champion designation marks a high level of achievement on our platform. This year’s honorees, through their exceptional service, have set a benchmark for excellence and client satisfaction. We are proud to acknowledge their contributions and successes.... --- ### LangChain Development Services > Check out our LangChain development services, where innovation meets practicality. Let's transform your business together with AI - Published: 2023-11-10 - Modified: 2024-12-17 - URL: https://vstorm.co/langchain-development-services/ - Categories: AI - Osoby: Antoni Kozelski At Vstorm, our decision to adopt LangChain was driven by its unparalleled potential in the application of Large Language Models (LLMs) for our clients. LangChain development enables us to efficiently integrate and orchestrate LLMs, enhancing workflows and creating customized solutions that meet specific business needs. LLMs, such as GPT, are advanced AI technologies capable of understanding and generating human-like text. They have been transforming the way we interact with digital content, making AI interactions more natural and intuitive. By leveraging LangChain, we can build advanced AI-driven systems that process vast amounts of data, deliver accurate results, and streamline operations for our clients. Why LangChain? LangChain, as a framework, excels in making the integration of these powerful LLMs into various applications faster and more efficient. This efficiency means that our clients can benefit from advanced AI capabilities without the need for extensive development time or resources. LangChain’s ability to combine LLMs with other information sources also allows for more context-specific AI solutions. Research and reports have consistently highlighted the significance of LLMs in the current AI landscape. Their ability to process and generate language has opened up new possibilities in AI application, from automating customer service interactions to creating content and analyzing large sets of data. LangChain development serves as a bridge, bringing these sophisticated AI capabilities into practical, everyday business use. Key LangChain development services we offer: AI-Powered application development Imagine having an application that not only understands your needs but also anticipates them. That's what we offer with our... --- ### The Power of LangChain in LLM-Based Applications > The integration of LangChain in LLM-based applications is a game-changer. Embrace this change, explore LangChain use cases, and be part of a future that's more connected, efficient, and inclusive. - Published: 2023-11-10 - Modified: 2024-10-09 - URL: https://vstorm.co/the-power-of-langchain-in-llm-based-applications/ - Categories: AI - Osoby: Antoni Kozelski LangChain, a framework specifically designed for Large Language Model (LLM) applications, has emerged as a major tool in enhancing the capabilities of natural language processing (NLP). A recent study highlighted by ProjectPro points out the significant improvements LangChain brings in accuracy and efficiency for NLP tasks. This is especially relevant as businesses and technology sectors increasingly rely on advanced language processing for better communication and data analysis. One of the key strengths of LangChain, as detailed by Towards Data Science, lies in its function-calling feature. This capability not only makes AI more usable but also opens up new avenues for integrating complex functionalities within LLM applications. This has been instrumental in driving forward the potential of language models beyond conventional boundaries. These insights underscore the growing importance of LangChain in the realm of LLMs, indicating a trend towards more sophisticated, data-rich applications in the field of AI and language processing. How does it work? LangChain, an innovative application development. Its technological strength lies in its ability to facilitate the building of sophisticated applications powered by LLMs like GPT. LangChain does this by providing a framework that simplifies the integration of complex language models into varied applications. Its structure comprises several parts, including Python and JavaScript libraries, which are essential for developers looking to harness the advanced capabilities of NLP. By enabling precise context-based actions and decision-making processes, LangChain offers a unique advantage in developing applications that require nuanced understanding and generation of language. This feature is crucial in creating more... --- ### AI talent recruitment challenges in Enterprises > The role of AI specialist ranks as the #1 emerging job, highlighting the growing demand for AI expertise in various industries - Published: 2023-11-08 - Modified: 2024-10-09 - URL: https://vstorm.co/ai-talent-recruitment-challenges-in-enterprises/ - Categories: AI - Osoby: Antoni Kozelski Hiring AI Developers in Enterprises According to McKinsey, generative AI is a key driver of productivity in the modern economy, radically transforming how businesses operate and compete . According to an additional report by LinkedIn, the role of AI specialist ranks as the #1 emerging job, highlighting the growing demand for AI expertise in various industries. This surge in demand is prompting companies to invest significantly in employee training and development to fill AI roles, emphasizing the critical need for AI developers in the current job market. Furthermore, a majority of respondents in a McKinsey survey reported difficulty in hiring for each AI-related role in the past year, indicating a significant gap in the availability of skilled AI professionals . This gap presents a clear opportunity for enterprises to focus on hiring and nurturing AI talent to meet their evolving technological needs. The visualization above represents the challenges faced by enterprises in recruiting AI talent, based on a McKinsey survey. It shows that a significant majority (60%) of respondents reported difficulty in hiring for AI-related roles in the past year. This disparity underscores the need for enterprises to focus more on hiring and nurturing AI talent to meet their evolving technological requirements. According to Deloitte, team augmentation with AI developers is an essential strategy for businesses looking to stay ahead . It involves not just expanding the workforce but enriching it with specialized skills and new perspectives. This approach is particularly beneficial in tackling complex AI projects and fostering innovation.... --- ### Strategies for choosing the best AI development vendor on Clutch > In summation, identifying the ideal AI development vendor on Clutch requires diligence, effective communication, and a meticulous approach. - Published: 2023-10-31 - Modified: 2024-10-09 - URL: https://vstorm.co/strategies-for-choosing-the-best-ai-development-vendor-on-clutch/ - Categories: AI In the dynamic world of Artificial Intelligence, selecting a top-tier vendor is paramount to the success of your projects. The journey to finding the right partner, especially on platforms like Clutch, can be intricate and demands a strategic approach. This detailed guide aims to equip you with the knowledge and tools to navigate this terrain, ensuring that your choice in AI development vendor is nothing short of excellent. Crystalize your vision: Defining your AI project requirements The foundation of a successful vendor search begins with a clear understanding of what you need. Define the objectives, scope, and intricacies of your AI project. What specific AI technologies are necessary? What is the expected timeline for completion? What budget constraints are in play? Answering these questions ahead of time establishes a clear roadmap, facilitating a smoother selection process. Crafting a stellar project brief: Your introduction to vendors Your project brief serves as the initial point of contact between you and potential AI development vendors. Make it count. Clearly outline the scope of your project, the technical expertise required, and your expectations. A detailed and transparent project brief not only attracts vendors with the right skill set but also sets the tone for a productive relationship. Leveraging Clutch’s review system: Digging deeper Clutch is renowned for its extensive review and rating system, which provides valuable insights into a vendor’s past performance. Don’t just skim the surface; delve into the reviews to understand the experiences of previous clients. Focus on aspects such as the... --- ### A guide to finding the right AI developer on Upwork > finding the right AI Developer on Upwork requires a combination of due diligence, clear communication, and a keen eye for detail. - Published: 2023-10-31 - Modified: 2024-10-09 - URL: https://vstorm.co/a-guide-to-finding-the-right-ai-developer-on-upwork/ - Categories: AI The increasing demand for AI expertise In an era where artificial intelligence (AI) is reshaping industries, businesses are increasingly seeking skilled AI developers to drive innovation. Recent statistics indicate that AI-related job postings have surged by over 70% in the last two years alone, highlighting the growing demand for this expertise. For companies and entrepreneurs aiming to harness the power of AI, finding the right talent is crucial. Upwork, a leading platform for freelancers, offers a vast pool of AI professionals, but the challenge lies in identifying the best match for your specific needs. The search begins: navigating Upwork’s AI talent pool Understanding AI developer roles AI development is a broad field, encompassing roles from machine learning engineers to data scientists. Before diving into Upwork’s talent pool, it’s essential to understand the specific skill set required for your project. An AI engineer on Upwork, for example, might specialize in algorithm development, while an AI agency on Upwork could offer a more comprehensive range of services, including data analysis and model deployment. Criteria for selecting an AI developer When searching for an AI developer on Upwork, consider factors such as experience, portfolio quality, client feedback, and specific technical skills. Look for professionals who have a proven track record in projects similar to yours. Also, assess their communication skills and ability to understand your project's unique requirements. The role of AI agencies on Upwork For more complex projects, collaborating with an AI agency on Upwork can be advantageous. Agencies like Vstorm offer... --- ### AI Integration > If you're ready to start your AI integration journey or looking to optimize your current strategy on LLM integration, reach out to Vstorm.co. Together, let's push boundaries and redefine what's possible in business. - Published: 2023-10-30 - Modified: 2024-10-09 - URL: https://vstorm.co/ai-integration/ - Categories: AI - Osoby: Antoni Kozelski The digital age has shifted the boundaries of what's possible in business. One of the most transformative drivers of this change is artificial intelligence (AI). As AI technology matures, company owners are continuously seeking ways to leverage its power to optimize processes, gain competitive advantages, and craft new business paradigms. If "AI integration" or "LLM integration" are on your radar, understanding their evolutionary stages is crucial. As we explore the process of AI integration, it's impossible to sideline the emerging power of Language Models, particularly Large Language Models (LLMs) like OpenAI's GPT series. These mammoth computational models can process and generate human-like text based on a vast array of data, offering significant advantages to businesses when integrated properly. For company owners intrigued by LLM's potential, the journey might seem daunting. But fret not. In this section, we’ll answer some pivotal questions about LLM integration into your organizational processes. How to start LLM integration? Let's begin with identifying the need: Begin by pinpointing areas in your organization that can benefit from natural language processing. Customer service, content creation, and data analysis are common starting points. Then there is a time for research and choosing the right model: While there are several LLMs available, their capabilities vary. Understand the strengths of each and choose one that aligns with your business needs. What we strongly recommend are pilot projects: Instead of an organization-wide rollout, start with a small-scale pilot project. This allows you to gauge the effectiveness and ROI of the LLM without... --- ### The Manifest Honors Vstorm as Toronto’s Most Reviewed AI Leader for 2023 > During the annual The Manifest Company Awards, Vstorm was officially spotlighted as one of the most reviewed and recommended AI Top Leaders - Published: 2023-10-24 - Modified: 2024-10-09 - URL: https://vstorm.co/the-manifest-honors-vstorm-as-torontos-most-reviewed-ai-leader-for-2023/ - Categories: AI, Partnership Here at Vstorm, we’re dedicated to helping businesses harness and maximize the power of generative AI to fuel their growth. Founded in 2017, our team has been delivering top-notch development services to businesses across the globe. We proudly serve as their strategic and technological partners for their respective endeavors. Today, we’re extremely excited to share with you all an esteemed award that was made possible by our gracious clients. During the annual The Manifest Company Awards, Vstorm was officially spotlighted as one of the most reviewed and recommended technology firms. According to their latest report, our team is among Toronto’s go-to partners for artificial intelligence solutions this 2023! For those of you who don’t know, The Manifest is an independent business news resource designed to guide browsers through different B2B industries. The site holds a yearly awards cycle to spotlight the finest service providers who share exceptional bonds with their clients. The awardees are chosen based on the number of testimonials they’ve earned over the preceding twelve months. This incredible award reflects the amazing support and trust of our beloved clients. If it weren’t for their brilliant projects, we wouldn’t be celebrating this moment right now. We’d like to seize this opportunity to extend our sincerest gratitude to everyone who believed in Vstorm. Thank you so much for everything! We hope that we made you proud and we genuinely look forward to seizing more fantastic opportunities with you all in the future.   Drive your digital potential with Vstorm! Connect... --- ### Instant customer service. AI chatbots in e-commerce > AI chatbots in e-commerce, in particular, have become integral in enhancing customer service, providing instant, personalized responses to customer inquiries, and significantly improving user experience. - Published: 2023-10-24 - Modified: 2024-10-09 - URL: https://vstorm.co/instant-customer-service-ai-chatbots-in-e-commerce/ - Categories: AI - Osoby: Antoni Kozelski The e-commerce landscape is evolving at an unprecedented pace, with artificial intelligence (AI) standing at the forefront of this transformation. AI chatbots, in particular, have become integral in enhancing customer service, providing instant, personalized responses to customer inquiries, and significantly improving user experience. The adoption of these AI-powered tools is not just a trend; it’s a necessary step forward. According to a report by Grand View Research, the global chatbot market size is expected to reach $1. 25 billion by 2025, growing at a compound annual growth rate (CAGR) of 24. 3%. Source: Precedence Research In this comprehensive guide, we will delve deep into how AI chatbots are changing customer service in e-commerce and retail, the benefits they offer, real-life use cases, potential downsides and how the industry is overcoming them, and finally, how you can get aid in integrating AI into your customer service. Let’s embark on this journey to uncover why AI chatbots are not just beneficial but essential in today’s digital age. Benefits of conversational chatbots in customer service Source: LitsLink 24/7 availability The digital age demands immediate responses and constant availability. AI chatbots are meticulously designed to meet these needs, providing unparalleled service around the clock. Whether it’s the crack of dawn or the dead of night, these digital assistants are ready and waiting, ensuring that every customer inquiry is promptly addressed. This tireless work ethic is crucial, especially when dealing with customers from around the globe, effectively eliminating the challenges posed by time zones. The... --- ### Generative AI in Tech Sectors > one thing remains clear: generative AI in tech sectors is reshaping industries, driving efficiency, ensuring accuracy, and enhancing user experiences. - Published: 2023-10-03 - Modified: 2024-10-09 - URL: https://vstorm.co/generative-ai-in-tech-sectors/ - Categories: AI In the ever-evolving landscape of technology, generative AI stands as one of the most groundbreaking advancements. It is not just a buzzword but is reshaping various tech sectors, transforming business processes, and redefining customer experiences. This article delves deep into the tech sectors that are immensely benefiting from generative AI services and their notable use cases. 1. HRTech: The Human Touch to Automation The Human Resources sector is not just about recruiting and payroll anymore. With the integration of generative AI, HR processes are witnessing unprecedented levels of automation and precision. AI Chatbots: Serving as virtual HR assistants, chatbots answer employee queries related to policies, benefits, or leave applications, providing 24/7 support. NLP for Feedback Analysis: Generative AI can analyze open-text feedback from employees, identifying areas of improvement and predicting potential issues. Automated Candidate Screening with LLMs: Generative models can sift through thousands of resumes, matching job descriptions to the most fitting candidates, thus simplifying the recruitment process. 2. HealthTech: The New Age of Patient Care Generative AI has given a fresh dimension to healthcare, making patient care more personalized and diagnosis more accurate. NLP for Patient Records: By analyzing patient records, generative AI can predict health outcomes, aiding in proactive care. AI Chatbots for Health Advice: Patients can now receive immediate advice or book appointments, streamlining the administrative processes of hospitals. 3. FinTech: The Financial Facelift The financial sector thrives on data. With generative AI, this data is not just analyzed but also used to make predictions, offer personalized... --- ### Navigating the AI wilderness: tools for small businesses and startups > Ai tools for small businesses and startups - Published: 2023-09-21 - Modified: 2024-10-09 - URL: https://vstorm.co/navigating-the-ai-wilderness-tools-for-small-businesses-and-startups/ - Categories: AI Navigating the world of technology, especially AI, is a bit like venturing into a dense forest for small businesses and startups. There’s a lot to explore, and finding the right path—that is, the right AI vendor—can make all the difference in reaching your destination, your business goals. The stakes are high, and the journey is filled with decisions and details, each one as important as the next. Choosing the right companion: finding a good AI vendor It starts with looking around and doing your homework. Think of it as scouting. Find vendors with a good reputation and proven experience. Look for those who get your business, who understand your industry and its unique challenges. It’s about finding a companion who knows the terrain and can guide you through it. Mapping the journey: preparing a good project brief Before stepping into the forest, you need a map. That’s your project brief. It should clearly outline what you want to achieve, what you expect, and any specific things you have in mind, like certain technologies or frameworks. This map helps the vendor understand your path and provide the right guidance and solutions. Calculating the travel costs: getting price estimations Having a good map— a clear, detailed brief— is also key to knowing how much your journey will cost. It helps vendors gauge the scope and complexity of your project and allocate resources accordingly, giving you a fair and accurate price estimation. Using the right tools: RTP, AI-powered excel template tool Every explorer... --- ### AI Chatbot Built in Public by Vstorm 01 > Ai chatbot build in public by aI development company Vstorm - Published: 2023-08-30 - Modified: 2024-10-09 - URL: https://vstorm.co/ai-chatbot-build-in-public-by-vstorm-01/ - Categories: AI In 2023, if you're a business owner not considering the integration of AI chatbots, you might be missing out on a revenue. AI chatbots are not just about automating customer support. Their potential spans across sales, marketing, and even internal processes. 24/7 Availability: The most evident benefit, and often the primary reason businesses opt for chatbots, is their non-stop availability . While human agents need breaks, chatbots are there round-the-clock, ensuring customers from any time zone receive timely responses. Cost efficiency: Chatbots are projected to save a staggering $209M in banking alone, with businesses witnessing up to 20-40% boost in sales due to chatbot integration. Personalized customer experience: Gone are the days when bots provided generic answers. With advancements in Natural Language Processing (NLP), Machine Learning (ML), and Natural Language Understanding (NLU), chatbots now offer highly personalized interactions that mimic human-like conversations, fostering loyalty. Multilingual and omnichannel support: As businesses go global, the demand for multilingual support rises. Chatbots cater to this need efficiently, ensuring consistent interactions across various digital platforms. Enhanced analytics and feedback collection: Chatbots don't just respond. They learn. By monitoring user data, tracking behaviors, and collecting feedback, they continually refine their interactions, providing businesses with invaluable insights for improvement . Sales and marketing boost: From the eCommerce sector, where Generative AI chatbots shape a whopping $5. 9T market by refining recommendations and reviews, to banking, where chatbots detect fraud and promote products, the impact on sales and marketing is undeniable. In conclusion, the integration of AI... --- ### Artificial Intelligence and its Dance with Data Privacy: Unpacking the ChatGPT Conundrum > AI and data privacy by Vstorm -ai development company - Published: 2023-08-14 - Modified: 2024-10-09 - URL: https://vstorm.co/artificial-intelligence-and-its-dance-with-data-privacy-unpacking-the-chatgpt-conundrum/ - Categories: AI - Osoby: Piotr Krzysztofik In the digital age, the relationship between AI and data privacy stands as a testament to the dual-edged nature of progress. The marvel that is ChatGPT by OpenAI sits at the heart of this debate, illustrating the tightrope walk between immense potential and pertinent concerns. AI-driven chatbots, once belonging to the realm of futurist fantasies, have become an everyday reality. ChatGPT, with its capacity to generate text that’s coherent and contextually sound, has set new standards in this space. From engaging users in detailed conversations to aiding in design projects, ChatGPT's applications seem boundless. Businesses across the globe have been quick to catch on, recognizing the utility of a tool that can not only enhance customer service but also derive rich insights from complex data. Yet, with all its merits, ChatGPT embodies the inherent challenges of AI. For starters, while it can generate information and even predict user intent, it doesn’t truly "understand" in a human way. This gap can lead to unforeseen misinterpretations. Furthermore, the potential for unintentionally perpetuating biases remains. But paramount among these concerns is the challenge of data protection. A common misconception is that AI models, like ChatGPT, store or remember user-specific inputs. This is not the case. While ChatGPT is trained on a plethora of data up until 2021, ensuring its responses are rich and diverse, it doesn’t retain personal conversations. OpenAI, true to its commitment to user privacy, ensures that personal conversations aren't utilized for further model refinement. Yet, assurances aside, the regulatory machinery... --- ### Simple How-To with AI. GPT in Google Docs and Spreadsheets 01 > GPT for Sheets and Docs? It's an AI tool for Google Sheets and Docs. With it, you can write better, extract data, translate text, and more, all powered by ChatGPT. - Published: 2023-08-09 - Modified: 2024-10-09 - URL: https://vstorm.co/simple-how-to-with-ai-gpt-in-google-docs-and-spreadsheets-01/ - Categories: AI Welcome to the start of our How-To with AI series for everyday users. Here, we'll break down how to use the "GPT for Sheets and Docs" extension in easy-to-follow steps. If you're curious about integrating AI into your regular tasks, analyzing the content of your document or the data in a spreadsheet, this guide will help you get started without the jargon. Let's dive in. Crucial step 0 First, make sure you have an account on OpenAI. com. To sign up go to https://platform. openai. com/signup? launch You can use Google or Microsoft accounts to sign up. Upon signing up, you are provided with $18 in free credits. Ideal for a test run. Remember to set up payment for regular use once your initial credits are exhausted. Btw. you can and should also set usage limits to manage your expenses. Step 1. Finding secret API key After signing up and logging into your account, go to user settings to access your Secret API key. https://platform. openai. com/account/api-keys . Generate a new one, name it for example Google Docs, and copy it to the notepad. Step 2. Open your doc and install GPT for Sheets and Docs into your Google extensions A. What is GPT for Sheets and Docs? It's an AI tool for Google Sheets and Docs. With it, you can write better, extract data, translate text, and more, all powered by ChatGPT. There are many on the market, but this one makes a really good job. B. How to... --- ### Meet our COO! Interview with Kamil Włodarczyk > Get to know our COO! Read the interview with Kamil Włodarczyk and discover VStorm's vision in generative AI, MVP development, and driving innovation. - Published: 2023-05-29 - Modified: 2024-10-09 - URL: https://vstorm.co/meet-our-coo-interview-with-kamil-wlodarczyk/ - Categories: Partnership We are pleased to introduce Kamil Włodarczyk, the recently appointed Chief Operating Officer (COO) of Vstorm. With an impressive background in the IT industry spanning more than two decades, Kamil brings extensive leadership experience to the team. His career has encompassed diverse sectors, including the public sector, retail, and international organizations. Kamil has successfully nurtured multiple businesses, guiding them from their inception to becoming well-established players in their respective markets. His wide-ranging expertise in operations, delivery management, finance, administration, and customer and sales relations adds valuable depth to Vstorm's capabilities. In this interview, we explore Kamil's insights, experiences, and his vision for driving innovation and growth in the dynamic realm of technology. What do you believe are the key success factors for the company? I believe that every company is similar to a wristwatch. Just like a good wristwatch, a company should be well-designed, assembled, and have a well-turned mechanism. Additionally, it should be developed according to modern trends and provide a warranty to its wearer. To ensure growth and establish meaningful relations with partners, all operational areas such as planning and control, workload management, benchmarking, support, client relationship and continuous improvement must work together effectively. At Vstorm, we have taken all of these factors into account since the company's founding. Moreover, our flexibility allows us to efficiently examine new projects and enter into new areas by utilizing the capacity and expertise of our talented team. I strongly believe that the key to our success lies in a good mix... --- ### Generative AI for startup owners... and not only! > Empower your startup with generative AI technologies. Vstorm offers cutting-edge solutions for startups, including MVP development and more. - Published: 2023-05-19 - Modified: 2024-10-09 - URL: https://vstorm.co/generative-ai-technologies-for-startups/ - Categories: AI - Osoby: Antoni Kozelski, Piotr Krzysztofik As you embark on your entrepreneurial journey, it's essential to keep up with the latest technologies to stay ahead of the game. In this chapter, we'll introduce you to some key generative AI technologies that can help skyrocket your startup. Before we get started, let's be clear: AI is not a silver bullet that can solve all your problems overnight. However, when used correctly, AI can help you automate mundane tasks, streamline your operations, and make better-informed decisions. It's all about using the right AI technologies for your specific needs. Let’s make note: with AI landscape currently evolving we are focusing only on the most-up-to-date technologies at the moment of writing this ebook.   This is an excerpt from our ebook " From zero to AI Hero. Generative AI for startups & business". Read more here! Generative AI You might have heard about generative AI, which is all about creating something new from scratch. Imagine having a buddy who can write engaging articles, design eye-catching graphics, or even compose catchy tunes. Generative AI can be that buddy for your startup. It uses advanced algorithms to generate content, code, designs, or music, based on the data it has been trained on. Think of it as a creative partner that can help you scale your content production without breaking the bank. Text-to-image The next cool kids on the block are Stable Diffusion, Midjourney and Dall-e. Have you ever wished you could simply describe an image and have it magically appear? That's where... --- ### AI in programming. Separating hype from reality with Code Interpreter and Copilot > Explore how generative AI in programming is used and separate hype from reality in interpreter and Copilot. A must-read for startups - Published: 2023-05-08 - Modified: 2024-10-09 - URL: https://vstorm.co/ai-in-programming-separating-hype-from-reality-with-code-interpreter-and-copilot/ - Categories: AI - Tags: ai, generative ai - Osoby: Grzegorz Gąsak AI in programming, really? Let's dive into it. Artificial intelligence (AI) has been touted as a game changer in many industries, including coding. AI-powered tools like Copilot, and Amazon Code Whisperer have been praised for their ability to generate code and help programmers save time. Also, ChatGPT has just released its latest innovation in the form of the Code Interpreter. This new tool promises to revolutionize the way developers work. It streamlines the coding process, making it faster and more efficient than ever before. But is AI in programming really the magic bullet it’s made out to be? Let’s take a closer look at the pros and cons of AI in coding. GPT-4 and AI in programming On the one hand, AI in programming tools can be incredibly useful. They can automate repetitive tasks, generate code based on existing patterns, and help catch errors that might otherwise go unnoticed. This can save time and improve efficiency, allowing programmers to focus on more complex tasks. The ChatGPT Code Interpreter is an all-in-one tool that can create charts, perform basic video editing, and even convert files. It is a game-changer for developers (and not only! ) who are looking for ways to speed up their workflow and save time. One of the most impressive features of the ChatGPT Code Interpreter is its ability to generate code based on natural language. This means that developers can simply type in plain English what they want the code to do. As a result the tool... --- ### Getting to know the new Chairman: an interview with Piotr Krzysztofik > Get to know Piotr Krzysztofik, VStorm's new Chairman, in an exclusive interview. Discover his vision for generative AI and MVP development - Published: 2023-02-23 - Modified: 2024-10-09 - URL: https://vstorm.co/getting-to-know-the-new-chairman-an-interview-with-piotr-krzysztofik/ - Categories: Partnership - Osoby: Antoni Kozelski We are excited to announce a new addition to the Vstorm community: Piotr Krzysztofik become Chairman of Vstorm. In this role, Piotr will head up, helping our company to continue to expand and grow. Piotr Krzysztofik is a business angel, investor, founder, and strategic advisor with over 22 years of experience in IT and managing large, international organizations with over $100M budgets and strategic business initiatives such as the growth of Siemens, Atos, and GlobalLogic. Successfully contribute to scaling Siemens Development Center department and Global Delivery Center of Atos. The last position in the big enterprises he held was the VP, CEO, Country Head, and Advisory Board member at GlobalLogic in Poland, Croatia, and Slovakia. After succeeding acquisition of GlobalLogic by Hitachi he started his activities as a founder, investor, and business advisor. In addition, he has completed an MBA degree and is a certified coach and mentor. In 2023 he has been nominated for the Business Angel of the Year 2022 (BAY )award. We are delighted that Piotr has decided to join Vstorm. He will be on the road soon, meeting with as many customers and partners as possible. So we decided to ask him a few questions! What do you believe are the key success factors for the company? As an IT business professional with over 20 years of experience and a vast network, I strongly believe that the success of any company lies in the mix of business understanding, people and company energy. These factors are particularly... --- ### Will AI eliminate Recruitment departments? > Explore the impact of AI on recruitment departments. Discover how AI is revolutionizing the hiring process and shaping the future of talent acquisition. - Published: 2023-02-15 - Modified: 2024-10-09 - URL: https://vstorm.co/will-ai-eliminate-recruitment-departments/ - Categories: AI - Osoby: Antoni Kozelski As technology continues to evolve, so too does the way businesses are run. As Artificial Intelligence (AI) becomes increasingly sophisticated, it is being more widely adopted in recruitment and HR departments. AI is being used to automate certain processes and tasks, as well as to make more accurate predictions about job applicants. This article will explore the potential for AI to completely replace recruitment departments.   Screening process There are a variety of AI-based tools available for recruitment and HR departments. These tools are designed to automate certain processes and tasks, such as sourcing and screening job applicants, and making accurate predictions about job performance.   AI-driven recruitment and talent acquisition tools use machine learning algorithms and Natural Language Processing (NLP) to analyze large amounts of data and provide insights into the best candidates for any given job. AI-driven tools can be used to automate the screening process and to accurately match job seekers with the right positions. AI-based tools can quickly and accurately assess job applicants’ resumes and CVs, eliminating the need for manual screening. AI can also be used to predict job performance, as it can identify patterns in data that are not easily visible to humans. AI-based tools can also be used to identify the best channels to source candidates, and to track the progress of a candidate's application and interview.   Tracking One of the most popular types of AI-based tools is applicant tracking systems (ATS). ATSs are used to organize and manage the recruitment process,... --- ### Data Mining Explained > Uncover the power of generative AI in data mining. Vstorm maximizes data insights for informed decision-making and MVP development strategies. - Published: 2023-01-19 - Modified: 2024-10-09 - URL: https://vstorm.co/data-mining-explained/ - Categories: Data Experts - Osoby: Antoni Kozelski, Piotr Krzysztofik In business, data mining refers to the practice of sifting through data to find useful patterns and correlations that may then be used to inform analytical approaches to the resolution of issues. Companies can use methods and technologies for data mining to better predict future trends and make smart business decisions. Data mining is a subfield of data science that use sophisticated analytical methods to extract actionable insights from data. Knowledge discovery in databases (KDD) is a method used in the field of data science for collecting, cleaning, and analyzing data. Data mining is an important part of KDD. Even though data mining and KDD can sometimes be used interchangeably, they are often seen as two different methods. The significance of data mining in a nutshell Successful analytics projects in businesses often include data mining. Its data can be used in traditional BI and advanced analytics programs that look at data from the past, as well as in real-time analytics programs that look at streaming data as it is being made or collected. When it's done right, data mining can be a useful tool for many parts of business planning and strategy. Included in this category are tasks like as marketing, advertising, sales, and customer service, as well as those involved in creating a product, managing inventory, handling finances, and staffing human resources. Among the many essential corporate uses for data mining include spotting fraud, managing risks, and preparing for cyberattacks. It's also crucial in fields like medicine, politics, science,... --- ### AI Applied Observability in detail > Delve into the details of applied observability in the context of MVP development for startups. Understand its impact on generative AI - Published: 2023-01-19 - Modified: 2024-10-09 - URL: https://vstorm.co/applied-observability-in-detail/ - Categories: Data Experts The rise of digital service and technology has revolutionized the way businesses operate. As a result, companies are increasingly turning to advanced technologies like applied observability to ensure that their operations are running smoothly and efficiently. Applied observability is the practice of collecting and analyzing data from various sources to gain insight into the behavior of complex systems. It can be used to detect and diagnose problems, identify opportunities for improvement, and provide greater visibility into system performance. Manufacturing sector In the manufacturing sector, applied observability can be used to understand the process of manufacturing from raw materials to the finished product. It can help manufacturers identify bottlenecks in production, detect inefficiencies, and ensure that the product meets the desired quality standards. By collecting data from various sources such as sensors and machines, manufacturers can identify areas of improvement, reduce costs, and increase productivity. Retail industry In the retail industry, applied observability can be used to monitor customer behavior. By collecting data from various sources such as customer interactions, website analytics, and transaction records, retailers can gain insights into customer preferences, buying patterns, and trends. This can help retailers better understand their customers and ensure that their products and services meet the needs of their target market. Software development To better understand what features consumers care about, what they struggle with, and how to enhance the service, it is important to provide observable systems that can be monitored and analyzed by both business and IT stakeholders. To learn more about... --- ### Python? Or SQL? Programming languages and tools used in data projects > Explore the pros and cons of Python in generative AI and MVP development for startups. Discover the best programming languages and tools - Published: 2023-01-19 - Modified: 2024-10-09 - URL: https://vstorm.co/python-or-sql-exploring-the-pros-and-cons-of-programming-languages-and-tools-used-in-data-projects/ - Categories: Data Experts Data projects are becoming increasingly popular in the world of software development. As data science and big data continue to grow, so do the tools and programming languages used to develop data projects. But with so many options available, it can be difficult to know which language or tool will best suit your data project needs. In this article, we will compare and contrast some of the most popular programming languages and data tools used in data project development. Python Python is one of the most popular programming languages for data projects. It’s a general-purpose programming language that is easy to learn and use. Python is often used for data analysis, data manipulation, and data visualization. Python also has a wide range of libraries and frameworks for data science, machine learning, and artificial intelligence. Finally, Python is highly compatible with other programming languages, making it a popular choice for data projects. R R is another popular programming language for data projects. Like Python, it is also a general-purpose programming language. It is used for statistical analysis, data visualization, and machine learning. R is also highly compatible with other programming languages and is often used in conjunction with Python. SQL SQL is a domain-specific language used to manipulate and query data in databases. It is commonly used in data projects to store and retrieve data. SQL is also used to create and modify database structures, as well as to analyze and aggregate data. It is a powerful tool for data projects... --- ### Unlock the power of data observability > Unlock the power of data observability with Vstorm. Leverage generative AI and MVP development to drive scalable solutions for startups - Published: 2023-01-19 - Modified: 2024-10-09 - URL: https://vstorm.co/unlock-the-power-of-data-observability/ - Categories: Data Experts Data observability is an important tool for businesses, particularly in the retail and manufacturing sectors, as well as in software development. In this article, we'll take a look at what it is, how it can be used in retail and manufacturing, and e-commerce as well as in software development, and the technologies and tech stacks needed. What is Data Observability? Data observability is a process of collecting, analyzing, and managing data in order to gain insights into the performance of various systems and processes. This process helps organizations identify and resolve issues in their systems, as well as monitor them in real time. Consequently, businesses can make informed decisions, optimize their systems, and increase the efficiency of their operations. How is Data Observability Used in Retail and Manufacturing? In the retail and manufacturing sectors, it is used to monitor customer behavior and preferences, analyze product performance, and optimize inventory management. Businesses can use data observability to analyze customer data, such as purchase history, demographics, preferences, and other data points, in order to better understand and target their customers. This information can then be used to optimize marketing campaigns and product offerings. In addition, businesses can use it to monitor the performance of their products and optimize their manufacturing processes. It can be used to analyze production and supply chain data, such as production costs, quality control, and delivery times, in order to identify issues and improve efficiency. How is Data Observability Used in E-Commerce? Data observability can be used to... --- ### Harnessing technology to craft a data strategy for your business > Craft a winning data strategy with VStorm's technology expertise. Leverage generative AI and MVP development for business growth and success. - Published: 2023-01-19 - Modified: 2024-10-09 - URL: https://vstorm.co/harnessing-technology-to-craft-a-winning-data-strategy-for-your-business/ - Categories: Data Experts - Osoby: Piotr Krzysztofik Business owners in today’s world must understand the importance of data. Data is the lifeblood of modern business, and the tools used to create and manage it are more important than ever. A comprehensive data strategy is essential for every business to stay competitive and manage its data effectively. Data strategy is the process of creating a plan for collecting, managing, and analyzing data for business purposes. It involves understanding the data needs of the organization, identifying data sources, developing a data architecture, and establishing governance policies. With the right data strategy, businesses can maximize their data’s value, create competitive advantages, and make better decisions. The technology tools used to create a data strategy are varied and often depend on the specific needs of the organization. Businesses must consider the data they need to collect, their current technology infrastructure, their budget, and their timeline. Steps in creating a data strategy Data collection is the first step in creating a data strategy. Businesses need to be able to collect data from multiple sources, such as customer surveys, web and mobile analytics, sales reports, and other sources. Technology tools such as data warehouses, databases, and software-as-a-service (SaaS) solutions can help businesses collect and store data. Once the data is collected, businesses must be able to analyze and interpret it. This is where data analytics tools come in. Data analytics can help businesses uncover patterns, trends, and correlations in their data. Business intelligence (BI) tools, machine learning (ML) algorithms, and predictive analytics tools... --- ### A remote cost of AI development team in practice > Leverage a remote data development team and generative AI to create outstanding products for your company. - Published: 2023-01-03 - Modified: 2024-10-09 - URL: https://vstorm.co/a-remote-data-development-team-to-make-a-great-product-for-your-company/ - Categories: Partnership Today, there is no longer any question as to whether or not working from home can be as effective as working in an office setting. There are even scenarios when it seems most practical to hire a remote crew. Considering the past worldwide epidemic, this is more true than ever. To get the most out of it, though, you need to make sure that each step of the process is well organized. Who is the remote data engineer? In contrast to their in-office counterparts, remote workers only engage in virtual team interactions. They may not be locals, and they might not even know anybody in the company. Even though this kind of communication is often associated with independent contractors, any employee, no matter their status, is free to do their job from home. The vendor-provided data engineer is a full-fledged team member; the only difference between them and the in-house staff is their location. Six reasons why it is a good idea to hire remote data engineers  1. Flexibility and the capacity to set up a model of collaboration As a result of global situation, businesses have been forced to rethink how they structure their workflow, how they connect with their workers, and how they might grow their teams. Workers' health and safety are more important than ever, but it's also important to keep productivity high. The biggest problem with ensuring employees are productive is that it is hard to keep track of their work when working from home. Both... --- ### Scenario-based Project Management and What-If Analysis > Explore scenario-based project management and what-if analysis with Vstorm. Contribute to generative AI and MVP development, driving data-driven decision-making for startups. - Published: 2023-01-03 - Modified: 2024-10-09 - URL: https://vstorm.co/scenario-based-project-management-and-what-if-analysis/ - Categories: AI Learn how we apply a what-if analysis to objectively evaluate and contrast potential future outcomes in data project management. In IT data project management, not everything goes according to plan. You may spend as much time as you want coming up with a beautiful, doable, and practical plan, but in the end, you'll almost always have to deviate just a little bit from it due to external factors. Such events may have significant financial and time implications for your project if you aren't ready for them. But if you can guess what will happen, you can take steps to make bad things less likely to happen and to lessen their impact if they do. The meaning of "what-if" analysis We use what-if analysis to think about portfolio of projects and how changes to those projects or alternative plans for those projects can affect the overall picture, including capacity, workload, and team utilization. The purpose of a what-if analysis is to provide insight into the potential outcomes of alternative business strategies, rather than relying on the status quo. Knowing these potential outcomes allows you to prepare for them and mitigate their effects. There are several points throughout a project or portfolio of projects when a what-if analysis might be useful. It's essential to do so before starting any task, and it may also happen at major checkpoints along the road. If anything has changed from the initial plan, this permits project managers to reevaluate previous estimations and do new analyses. Just... --- ### Hire remote AI developers with Vstorm > Discover how Vstorm hires remote AI developers and data specialists. Embrace generative AI and MVP development while working remotely and contributing to startup success. - Published: 2023-01-03 - Modified: 2024-10-09 - URL: https://vstorm.co/hire-remote-ai-developers-with-vstorm/ - Categories: Partnership As your business expands, you'll need to hire more AI engineers. However, it is difficult to locate experienced specialists who can reliably produce high-quality code for your data. In fact, one of the driving forces behind the creation of Vstorm was to eliminate the time and effort spent on recruiting and selecting top-tier programmers. You need a solid recruiting procedure if you want to staff up internally with high-quality data engineers. That holds true whether your business is a brand-new startup or a Fortune 500 behemoth. Having such a procedure in place can increase the quality of your applications and lessen the likelihood that you'll end up with the incorrect developer on staff. In this article, we'll explain how Vstorm identifies, evaluates, and ultimately selects its exceptional data engineers for employment. Looking for AI professionals - Recruitment doesn't cost you anything The first step in every successful marketing campaign is to identify and learn about your target market. We keep tabs on where the best Python developers spend their time, both when they're content in their current roles and when they're on the hunt for a new one. As for the latter, it's not hard to see why. You can usually discover data engineers looking for work on job forums like JustJoinIT, Bulldog, or on social media like LinkedIn or Facebook. From what we've seen, it's possible to identify qualified people there, but only after sifting through hundreds, if not thousands, of applications. To recruit even more specialists, we're also... --- ### Dolnośląskie firmy podbijają światowe rynki > Explore VStorm's success stories in Dolnośląskie region. Witness how our generative AI and MVP development empower startups to conquer global markets. - Published: 2022-12-20 - Modified: 2024-10-09 - URL: https://vstorm.co/dolnoslaskie-firmy-podbijaja-swiatowe-rynki/ - Categories: Press Efektem programu „Going Global”, promującego firmy z regionu za granicą, jest 13 misji gospodarczych z udziałem przedstawicieli 69 przedsiębiorstw, setki spotkań i nowych kontaktów biznesowych. Read more on Rzeczpospolita. https://regiony. rp. pl/biznes/art37556781-dolnoslaskie-firmy-podbijaja-swiatowe-rynki --- ### Year in review, 2022 > Take a look back at the highlights of 2022 with Vstorm. Celebrate our achievements in generative AI, MVP development, and scaling for startups. - Published: 2022-12-20 - Modified: 2024-10-09 - URL: https://vstorm.co/year-in-review-2022/ - Categories: Community, Partnership Annual reviews are becoming a custom that we all look forward to. 2022 has been a tough year defined by historical events and challenges in the global economy; it has also been a year of learning and compassion for all of us, either as a team or as individuals. In spite of market stagnation in certain sectors, we continue to expand since our partners recognize the advantages of working with us, including the optimization of IT budgets for businesses that use our services. The last year has been truly a whirlwind. We've established various significant partnerships, reorganized our company from the inside out, and organically focused on data management solutions. Now is a good opportunity to reflect on everything that we accomplished and collect our thoughts into a concise summary.   Activities undertaken in 2022: creation and implementation of the business continuity planImplementation of candidate journey path and data-driven recruitment proceduresexpanding company expertise and services toward data management servicesfocus on community building and improving internal procedures in accordance with the human-centric value Vstorm in numbers: 23 new team members joined usA variety of new business relationships established221% revenue growth year-over-year5375 meters above sea level, peak Gokyo Ri in the Himalayas was reached by Vstorm Want to know more? Continue reading to learn more about our 2022 developments! Financial stability We are constantly expanding, with a 221% increase in revenue year-over-year. Vstorm develops its culture around freedom and stability, from the very beginning, we are a debt-free company, with no investors,... --- ### Firmy z Dolnego Śląska i ich pomysły na unowocześnianie świata. > Witness the innovative ideas of Lower Silesian companies in shaping the world. VStorm leads the way with generative AI and MVP development solutions. - Published: 2022-10-14 - Modified: 2024-10-09 - URL: https://vstorm.co/firmy-z-dolnego-slaska-i-ich-pomysly-na-unowoczesnianie-swiata/ - Categories: Press Tu trzeba być. Dzisiaj Zjednoczone Emiraty Arabskie to prawdziwy hub technologiczny - mówi Jacek Buda, zastępca ambasadora RP, o trwających w Dubaju międzynarodowych targach nowych technologii Gitex, na których prezentują się także firmy z Dolnego Śląska. Czytaj więcej. na Gazeta Wyborcza Wrocław --- ### Tokio Game Show 2022. Dolny Śląsk chce podbić technologiczne centrum świata > Dolny Śląsk chce podbić technologiczne centrum świata z Vstorm. Zobacz Tokio Game Show 2022 z Vstorm. - Published: 2022-10-14 - Modified: 2024-10-09 - URL: https://vstorm.co/dolny-slask-chce-podbic-technologiczne-centrum-swiata/ - Categories: Press Ponad 600 wystawców, 1800 stoisk i tysiące odwiedzających – tak prezentują się targi Tokio Game Show 2022, największe i najbardziej prestiżowe wydarzenie branży gamingowej w Japonii. W targach uczestniczy także reprezentacja Polski oraz Dolnego Śląska. Dziesięć firm tworzących gry komputerowe oraz startupy z nowymi technologiami wykorzystuje okazje do promocji swoich produktów, oraz nawiązania nowych, biznesowych kontaktów. Czytaj więcej na Money. pl --- ### The ABC of Chrome Add-ons for Front-End and Web Developers. > Discover the ABC of Chrome Add-ons for front-end and web developers with Vstorm. Enhance your generative AI and MVP development workflow for startup success - Published: 2022-10-13 - Modified: 2024-10-09 - URL: https://vstorm.co/the-abc-of-chrome-add-ons-for-front-end-and-web-developers/ - Categories: AI Add-ons for Chrome that are made just for programmers are not given nearly enough credit and are sometimes ignored. Even if you don't work on the front end, you'll find these tools to be really helpful in your work as a web developer. Many developers may be losing out on opportunities because of the dizzying number of Chrome add-ons available. That's why we made a list. As a developer, your time is valuable; here are 29 Chrome extensions that will save you time and help you work more efficiently. These add-ons are completely free and compatible with any Chromium-based browser, not only Chrome. You can also use Opera, Brave, or Microsoft Edge without any problems. Proofchecked by one of Vstorm's best web developers! This section will discuss the following: WhatFont can identify the typefaces used on a website. With this add-on, you may see, test, save, and ultimately purchase the typefaces used on any website. You may use it to learn the name, size, line spacing, letter spacing, and color of a font. This Chrome add-on is a must-have for every professional web designer or developer. GridRuler provides a ruler that may be used to accurately gauge pixel sizes and coordinates. Any element's dimensions and relative location on a webpage may be seen. Google Maps Api Checker allows you to determine if your website is properly implementing Google's licensed Maps APIs. Wappalyzer. Wappalyzer can analyze any website to determine what web technologies are being utilized. In addition to CMS and e-commerce... --- ### 1...2...3... It's time to stretch! A short guide on how to avoid back pain > Digital Nomads Guide: Maintain your health while working remotely. - Published: 2022-09-22 - Modified: 2024-10-09 - URL: https://vstorm.co/1-2-3-its-time-to-stretch-a-short-guide-on-how-to-avoid-back-pain/ - Categories: Digital Nomading Experts Think about that for a moment. You've just gotten comfortable in your remote working style. Unfortunately, there is one major issue. Your whole body suffers from the eight hours a day you spend working on the top of your bed or at coffee shops with antique chairs fashioned by someone who obviously has never seen a human being. What are your options? You can't waste your time away from the road by commuting to a shared office place every day. In any case, you're in luck since I know the solutions. Most homes lack the square footage necessary to house modern ergonomic office equipment, and even fewer individuals would voluntarily shell out the cash to buy such items, even if they perform the majority of their work away from the office. If you work from home, you may be sitting on a lounge chair or even your bed while using your computer on a standard table or kitchen countertop. It's likely that wherever you've set up camp for the day, your posture isn't ideal. It may not be a big deal if you did this for a few days or weeks, but our stay at home is now stretching into months. Now the question is, what can you do? Neutral posture, in which no portion of the body is bent or twisted uncomfortably, should be maintained for as much of your workday as possible; breaks should be taken to increase blood flow. This means keeping in mind the following 10... --- ---