Updated definitions cover LLMs, RAG, and AGI to help tech pros.

TechCrunch AI has published an updated glossary to demystify terms such as LLMs (large language models), RAG (retrieval-Augmented Generation), and AGI (artificial general intelligence) for tech professionals. These definitions are essential for operators, builders, and AI practitioners navigating the evolving landscape of artificial intelligence.

The glossary includes detailed explanations like AGI being ‘highly autonomous systems that outperform humans at most economically valuable work,’ as per OpenAI’s charter, or Google DeepMind’s view of AGI as ‘at least as capable as humans at most cognitive tasks.’ These terms are crucial for understanding the current state and future direction of AI technologies.

For builders and operators, mastering these definitions is vital to integrating advanced AI capabilities into projects. Whether developing AI agents, managing API endpoints, or implementing chain-of-thought reasoning in large language models, clear definitions ensure successful implementation and innovation within enterprise teams.

As the field evolves rapidly, TechCrunch AI will continue updating this glossary to reflect the latest developments in AI research and technology.

What matters

• TechCrunch AI releases updated glossary on key AI concepts.
• Terms like LLMs, RAG, and AGI aid in understanding complex systems.
• Builders and operators need these definitions for effective implementation.

Why it matters

Builders and operators need these definitions for effective implementation.

This GenAI News article was prepared in original wording using reporting and materials published by TechCrunch AI. Source reference: https://techcrunch.com/2026/05/09/artificial-intelligence-definition-glossary-hallucinations-guide-to-common-ai-terms/.

Drafted by the GenAI News review pipeline.