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A framework from Stanford NLP that compiles natural-language programs into optimized prompts. Instead of hand-tuning prompts, the developer writes a high-level pipeline and DSPy figures out the prompt strings that maximize a chosen metric. Used for complex RAG and agent systems.
DSPy is one of the most credible attempts to replace prompt engineering with a programming-language abstraction. AI engineering roles at research-flavored shops use it.
A framework from Stanford NLP that compiles natural-language programs into optimized prompts. Instead of hand-tuning prompts, the developer writes a high-level pipeline and DSPy figures out the prompt strings that maximize a chosen metric. Used for complex RAG and agent systems.
DSPy is one of the most credible attempts to replace prompt engineering with a programming-language abstraction. AI engineering roles at research-flavored shops use it.
Definitions are original explanations written for career development purposes. For authoritative technical definitions, refer to NIST, ISO, or the relevant standards body.
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