LLM Terminology Cheat Sheet: Comprehensive Reference For AI Practitioners
Techstrong.ai, Wednesday, January 7th, 2026
This reference distills the essential terminology of large language model (LLM) research & engineering into a single, accessible guide. From architectures and core components, to training strategies and evaluation benchmarks, it provides the precise definitions needed to navigate technical papers, model documentation and benchmark results.
If you work with large language models (play with the latest open-source ones here), you know that the jargon can quickly get dense. This guide consolidates the most important terms - from architectures and core components to training strategies and evaluation benchmarks - in one place, with precise definitions that you can rely on when reading research papers, model documentation or benchmark results.