Transcript [EN]: [1hr Talk] Intro to Large Language Models

The speaker explains what large language models are, focusing on the two-file packaging of models like Llama 2 and how training creates a 140 GB parameter file from enormous internet data and GPUs. He contrasts pre training with fine tuning to create assistant models, discusses tool use, multi-modal capabilities, and an open versus closed model landscape. The talk covers scaling laws, system design analogies to an operating system, and future directions including system two thinking, self-improvement, customization, and potential security risks like jailbreaks and prompt injections. He also touches on evaluation via leaderboards and emphasizes the evolving security cat and mouse games in LM safety.