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Awesome GitHub RepositoriesEvaluation Dataset Preparation
Utilities for structuring raw data into formats suitable for automated testing and optimization.
Distinguishing note: Focuses on preparing data specifically for AI program evaluation.
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Awesome Evaluation Dataset Preparation 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-
Converts raw data into structured objects to prepare them for automated testing and optimization.
Python
