TechCrunch has rolled out a living AI glossary aimed at translating the flood of jargon that now fills product meetings, pitches and podcasts. The guide offers plain‑English definitions for terms such as AGI, LLMs, RAG and RLHF, helping anyone from developers to investors keep pace with rapid advances.
The glossary covers a breadth of concepts, from broad ideas like artificial general intelligence and compute hardware to more granular notions such as AI agents, API endpoints, chain‑of‑thought reasoning, coding agents, deep learning, diffusion models, distillation, fine‑tuning, GANs, hallucinations, inference and memory cache. Each entry explains the core meaning, typical use cases and, where relevant, how the term fits into the wider AI ecosystem.
By treating the glossary as a “living document,” TechCrunch signals that it will refresh the entries as the field evolves, providing a reliable reference point for readers trying to navigate an ever‑changing landscape. The resource should become a go‑to tool for anyone needing quick, accurate context on the AI terms that dominate today’s tech discourse.
