Photo by Pixabay on Pexels

A detailed terminology cheat sheet designed to clarify key concepts in Large Language Models (LLMs) has emerged online. The guide aims to foster a more consistent understanding of LLM research and development. Covering fundamental aspects such as model architectures, core mechanisms like Transformers and attention mechanisms, training methodologies including Reinforcement Learning from Human Feedback (RLHF) and Reinforcement Learning from AI Feedback (RLAIF), and evaluation benchmarks like GLUE, the document provides a valuable reference for both newcomers and experienced practitioners. The resource gained traction after being shared on the r/artificial subreddit. A link to the original Reddit post can be found here: https://old.reddit.com/r/artificial/comments/1njb5ya/sharing_our_internal_training_material_llm/