DSPy
Builds model pipelines as programs whose prompts are optimised rather than written.
Überblick
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.
Technologiegraph
Wie DSPy mit dem übrigen Stack zusammenhängt.
Werkzeuge
Software, die DSPy implementiert oder integriert.