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Iterative Program Optimization · Awesome GitHub Repositories

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Awesome GitHub RepositoriesIterative Program Optimization

Frameworks for systematically refining AI program performance through sequential adjustments.

Distinguishing note: Focuses on the iterative refinement of the entire program structure.

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  • stanfordnlp/dspy

    stanfordnlp/dspy

    32,291View on GitHub↗

    DSPy 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-

    Improves task reasoning and execution efficiency by applying prompt and weight adjustments in sequence.

    Python
    32,291View on GitHub↗