Artificial Intelligence Glossary

Artificial intelligence glossary is a comprehensive reference resource that defines and explains technical terms, concepts, methodologies, and technologies within the AI domain, serving as a knowledge base for practitioners, researchers, and business stakeholders. This structured collection encompasses fundamental concepts like machine learning and neural networks, advanced topics including transformer architectures and reinforcement learning, and practical applications such as AI agents and natural language processing. AI glossaries typically organize entries alphabetically or thematically, providing clear definitions, contextual examples, and cross-references between related concepts. Key categories include model architectures, training methodologies, evaluation metrics, deployment strategies, and emerging technologies. These resources bridge knowledge gaps between technical and non-technical audiences, standardize terminology usage, and support educational initiatives. For AI agents, glossaries serve as knowledge repositories enabling systems to understand domain-specific vocabulary, provide accurate explanations, and maintain consistent terminology across documentation and user interactions.