Explore a comprehensive conference talk on DSPy, a cutting-edge framework from Stanford for building and optimizing language model pipelines, specifically tailored for code generation. Join Krista Opsahl-Ongy, PhD candidate at Stanford, as she delves into the intricacies of DSPy, its applications, and its potential to revolutionize complex task automation. Learn about the importance of modular pipelines in AI, challenges in manual prompt engineering, and how to build language model programs with DSPy. Gain insights from a comparative study on optimizer performance and participate in a hands-on tutorial using DSPy with the HackerCup dataset. Discover how DSPy can enhance your code generation projects and streamline AI workflows through this informative 58-minute session, complete with a Q&A segment for deeper understanding.