stanfordnlp/dspy

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DSPy: Programming—not prompting—Foundation Models Paper - DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines DSPy is the framework for solving advanced tasks with language models (LMs) and retrieval models (RMs). DSPy unifies techniques for prompting and fine-tuning LMs — and approaches for reasoning, self-improvement, and augmentation with retrieval and tools. All of these are expressed through modules that compose and learn. To make this possible: DSPy provides composable...