Software Development
DSPy
DSPy is a Python framework from Stanford NLP that replaces hand-written prompts with code: you declare LLM tasks as typed signatures, compose them into modules, and let optimizers (BootstrapFewShot, MIPROv2, GEPA) tune the prompts and few-shot examples against your metric. Use when the user asks about DSPy, signatures, ChainOfThought, ReAct, teleprompters or optimizers, or wants to stop hand-tuning prompts.
- Publisher / source
- TerminalSkills Library
- Upstream record
- TerminalSkills/skills
- Version
- Version 3
- Published
- Publication review
- Approved for publication
- Content fingerprint
39a02fab64ad7a21b3034a3afbc18ea1b6116346eb4f7a782fd31608b914e970