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Awesome GitHub RepositoriesFew-Shot Learning Baselines
Utilities for establishing performance baselines using labeled examples in few-shot learning.
Distinguishing note: Focuses on baseline establishment rather than automated optimization.
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Awesome Few-Shot Learning Baselines 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-
Attaches labeled training examples to predictors to establish a baseline for few-shot learning.
Python
