1 repo
Awesome GitHub RepositoriesFew-Shot Learning Optimizers
Tools for automatically selecting and bootstrapping few-shot demonstrations to improve model performance.
Distinguishing note: Focuses on the search and selection of demonstration sets.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Few-Shot Learning Optimizers. Refine with filters or upvote what's useful.
Awesome Few-Shot Learning Optimizers GitHub Repositories
Find the best repos with AI.We'll search the best matching repositories with AI.
- 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-
Selects the best set of few-shot demonstrations by running multiple bootstrap rounds and evaluating performance.
Python
