Kevin Madura

This talk introduces DSPy, a framework designed to streamline the development of applications that leverage large language models (LLMs). It proposes a shift from traditional prompt engineering to a more programmatic approach, treating LLMs as first-class citizens within Python programs. DSPy aims to simplify the creation of modular, optimizable, and maintainable AI systems by providing a structured way to define intents, manage logic, and integrate LLM calls.