DSPy is a framework for programming language models with compositional Python code, aimed at creating modular AI systems. It helps optimize prompts and weights, moving away from brittle prompt-based methods. You can use various LLM providers with DSPy, and its ecosystem supports quick scripting to sophisticated system building. Optimizers, like MIPROv2, help tune AI performance. Originating at Stanford NLP, DSPy has an active community contributing to its development and use in various applications.
Table of contents
1) Modules help you describe AI behavior as code , not strings.2) Optimizers tune the prompts and weights of your AI modules.3) DSPy's Ecosystem advances open-source AI research.Sort: