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Awesome GitHub RepositoriesDynamic Demonstration Retrieval
Retrieval of relevant examples at inference time using vector embeddings.
Distinguishing note: Focuses on dynamic, context-aware retrieval for few-shot prompting.
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Awesome Dynamic Demonstration Retrieval 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-
Populates predictor demo slots dynamically at inference time using K-nearest neighbors.
Python
