AI terms to know

AI terms to know refers to essential artificial intelligence vocabulary and concepts that professionals, business leaders, and technical practitioners must understand to effectively navigate the rapidly evolving AI landscape and make informed decisions about AI adoption, implementation, and strategy. This comprehensive terminology encompasses foundational concepts including machine learning, deep learning, neural networks, natural language processing, computer vision, and generative AI that form the building blocks of modern artificial intelligence systems. AI terms to know include technical concepts such as algorithms, training data, model parameters, inference, fine-tuning, and deployment alongside business-relevant terminology including AI automation, intelligent agents, predictive analytics, and enterprise AI solutions. Modern AI vocabulary extends to emerging areas including large language models, transformer architectures, multimodal AI, reinforcement learning, and AI safety considerations that influence contemporary AI development and deployment strategies. Enterprise applications require understanding AI terms related to implementation including API integration, model selection, performance metrics, scalability, and governance frameworks that enable successful AI project execution. Advanced AI terminology encompasses specialized domains including prompt engineering, retrieval-augmented generation, constitutional AI, and AI alignment that represent cutting-edge developments in artificial intelligence research and practical applications for organizations seeking to leverage AI capabilities effectively while understanding associated risks and opportunities.