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Language: Jupyter Notebook | License: MIT License
MIPROv3 is an advanced prompt optimization framework for DSPy, enhancing efficiency, adaptability, and convergence using parallel execution, Bayesian...
Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3 | Language: Jupyter Notebook | License: Apache...
Vanilla-Python ergonomics on top of DSPy | Language: Python | License: MIT License
Language: Python | License: BSD 3-Clause "New" or "Revised" License
Part II of our series: "DSPy: Advanced RAG"! Building on our initial exploration of prompt engineering, this session expands into the dynamic...
GEPA can improve your AI agent performance simply by evolving the instruction or prompt.
Discover how Agent Zero integrates with DSPy to create self-improving quantitative trading systems with institutional-grade ... | Channel: Agent Zero...
The talk explores how to manage multiple AI assistants through a **flexible Routing Agent** that automatically directs queries to the right model....
AI-powered tweet optimization tool using DSPy with hill-climbing algorithm | Language: Python | License: MIT License
Recorded at PyCon DE & PyData 2025, April 23, 2025 https://2025.pycon.de/program/F7RDPT/ A comprehensive framework ... | Channel: PyData
🛠️ Optimize your prompts to enhance AI agent performance with real-time feedback and tailored solutions in an easy-to-use web interface. | Language:...
How to extract any information from images using DSPY and Gemini models. | Channel: kevin herbas