Large Language Models

Undergraduate / Graduate

This course will provide an in-depth understanding of key components in large language models (LLMs). It assumes prior knowledge of transformers and basic knowledge of modern LLMs. It will cover topics on different approaches to understand large language models including prompting and mechanistic interpretability. It will also cover post-training and advanced use of LLMs in simulation and scientific discovery.