Explore advanced data compression techniques in this Stanford University lecture focusing on context-based arithmetic coding and large language model (LLM) compression. Delve into the intricacies of these cutting-edge methods as presented by Professor Tsachy Weissman, an expert in electrical engineering, along with researchers Shubham Chandak and Pulkit Tandon. Gain insights into the theoretical foundations and practical applications of context-based arithmetic coding, and discover how these principles are applied to compress large language models. Follow along with the comprehensive course materials available on the Stanford Data Compression Class website, and consider enrolling in the full online course for a deeper understanding of data compression theory and its real-world implementations.