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DSPy

Builds model pipelines as programs whose prompts are optimised rather than written.

framework Фреймворки MIT 3 relationships

Обзор

DSPy treats a model pipeline as a program with declared inputs and outputs, and compiles the prompts by measuring which wording scores best on examples. It solves the problem that hand-tuned prompts are brittle: they encode one person's guess about phrasing and stop working when the model or the task shifts. It exists because prompt wording is a parameter that can be searched, and searching it beats guessing at it.

Граф технологий

Как DSPy связана с остальным стеком.

Применяется к

Инструменты

ПО, которое реализует DSPy или интегрируется с ним.

LLM Frameworks