DSPy Explained - Compiling Declarative Language Model Calls into Self-Improving Pipelines

Explore a comprehensive presentation on "DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines," led by Omar Khattab from Stanford. Dive into the innovative DSPy programming model, which abstracts language model pipelines as text transformation graphs and allows for self-improving AI systems. Learn how DSPy modules can learn to apply various techniques through demonstration collection, enabling GPT-3.5 and llama2-13b-chat to outperform standard few-shot prompting and expert-created demonstrations. Discover the potential of this groundbreaking approach to enhance AI performance and efficiency. Access the project code, research paper, and additional resources to deepen your understanding of DSPy and its implications for the future of AI development.

DSPy Explained