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Modular AI Pipelines · Awesome GitHub Repositories

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Awesome GitHub RepositoriesModular AI Pipelines

Architectures for assembling AI systems from reusable, hierarchical components.

Distinguishing note: Focuses on hierarchical composition of AI logic rather than flat script execution.

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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-

    Assembles sophisticated AI systems from reusable, hierarchical components that manage state and execution flow.

    Python
    32,291View on GitHub↗