GitHub - gepa-ai/gepa: Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GEPA (Genetic-Pareto) is a framework for optimizing arbitrary systems composed of text components—like AI prompts, code snippets, or textual...
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GEPA (Genetic-Pareto) is a framework for optimizing arbitrary systems composed of text components—like AI prompts, code snippets, or textual...
The Ruby framework for programming—rather than prompting—language models. | Language: Ruby | License: Other
Strwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology...
This article teaches how to develop authentic AI-generated voice using DSPy and genetic-Pareto optimization to systematically explore a...
This page offers an advanced guide for optimizing DSPy programs using dspy.GEPA, focusing on two key customization features. You can create custom...
For more control over the tool calling process, you can manually handle tools using DSPy's tool types.
DSPy Go implementation | Language: Go | License: MIT License
WIP - Allows you to create DSPy pipelines using ComfyUI | Language: Python | License: MIT License
Adaptive Agentic AI Reasoning using Microsoft Agent Framework -- Join the Discord for suggestion or support ! https://discord.gg/ebgy7gtZHK |...
Extract structured data from any content using LLMs. | Language: Python | License: MIT License
Reproducibility Study of “InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval” This...
A tool kit for generating high quality prompts using DSPy GEPA optimizer | Language: TypeScript | License: Other
Simple Graph Memory for AI applications | Language: Jupyter Notebook | License: MIT License
A framework for optimizing DSPy programs with RL | Language: Python | License: MIT License
A very baseline version of an AI assitant in Minecraft | Language: Python
Mike is a "multi-hyphenate" tech entrepreneur who bridges the gap between marketing and AI engineering. Former founder of ... | Channel: Information...
DSPydantic: Auto-Optimize Your Prompts and Pydantic Models with DSPy | Language: Python | License: Apache License 2.0
This is a mock summary for the article at https://www.winking-owl.com.
A tool kit for generating high quality prompts using DSPy GEPA optimizer | Language: TypeScript | License: Other
Happy to finally announce the stable release of DSRs. Over the past few months, I’ve been building DSRs with incredible support and contributions...