1 repo
Awesome GitHub RepositoriesCompletion Aggregation
Techniques for combining and normalizing multiple model outputs.
Distinguishing note: Focuses on output synthesis rather than generation.
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Awesome Completion Aggregation 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-
Combines multiple model outputs by selecting frequent results and normalizing formatting.
Python
