Stanford

1 articles

llm7 min read

DSPy — Program LLMs Systematically Instead of Prompting (2026)

A comprehensive guide to DSPy, Stanford's framework for programming LLMs through optimizable modules rather than hand-crafted prompts — covering signatures, modules, teleprompters, and end-to-end pipeline optimization with Python examples. For ML engineers building reliable, measurable LLM systems.

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