COE549 Advanced Large Language Models

[3–0, 3 cr.]

This course covers advanced and evolving topics in large language models (LLMs), with a focus on both established methods and emerging state-of-the-art approaches. The course covers efficiency techniques including sparse models, quantization, pruning, retrieval-augmented generation, and fine-tuning, as well as strategies for managing long contexts. The course also explores multi-agent frameworks, advanced system design, and orchestration methods.