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Awesome GitHub RepositoriesDemonstration Bootstrapping
Processes for generating and filtering high-quality few-shot examples from model traces.
Distinguishing note: Focuses on the creation and validation of examples rather than the selection of existing ones.
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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-
Creates few-shot examples by running a teacher model on training data and filtering successful traces.
Python
