1 repo
Awesome GitHub RepositoriesAutomated Prompt Optimization
Systems that iteratively refine model instructions and few-shot examples based on performance metrics.
Distinguishing note: Focuses on programmatic optimization rather than manual prompt engineering.
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Awesome Automated Prompt Optimization GitHub Repositories
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- stanfordnlp/dspy
stanfordnlp/dspy
32,291View on GitHubDSPy is a declarative programming framework designed for building complex language model applications. It treats model interactions as modular, composable programs, allowing developers to define task logic through typed class schemas rather than relying on manually written prompts. By organizing workflows into hierarchical, reusable Python objects, the framework enables the construction of sophisticated AI systems that manage state and execution flow independently. The framework distinguishes itself through an automated optimization engine that iteratively refines prompt instructions and few-
Systematically improves model performance by iteratively refining instructions and few-shot examples using evaluation metrics.
Python
