GitHub - stanfordnlp/dspy: DSPy: The framework for programming—not prompting—foundation models

[Jun'24] Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs [Oct'23] DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines [Jul'24] Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together [Jun'24] Prompts as Auto-Optimized Training Hyperparameters [Feb'24] Assisting in Writing Wikipedia-like Articles From Scratch with

[secondlife]

“DSPy is a framework for algorithmically optimizing LM prompts and weights, especially when LMs are used one or more times within a pipeline”