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An MCP Server that optimizes prompts using the GEPA method. | Language: TypeScript | License: MIT License
GEPA: Deep evaluation and Optimization using SuperOptiX Framework | Language: Python
DSPy Experiments | Language: Jupyter Notebook
Designing a RAG pipeline using Gemma-2b, DSPy, and Qdrant | Language: Jupyter Notebook
Writing Optimized Triton Kernels using DSPy and local LLMs | Language: Python
OpenManus with Enhanced research capabilities through DSPy and MCP integration | Language: Python
A DSPy / GEPA based optimiser for generating training dataset for sanskrit FT | Language: Python
Evidence of GitHub star manipulation in the DSPy repository (Aug-Sep 2023). Statistical analysis + forensic account investigation identifying 761...
FastAPI + DSPy + Claude 4 comment generation AP | Language: Python
Programming LMs with DSPy using modular AI systems instead of relying solely on manual prompt tuning, enabling smaller models to achieve superior...
Language: Jupyter Notebook | License: Other
From Prompting to Programming: Code Your Way to Declarative AI Mastery - Built with Marimo Notebooks | Language: Python | License: MIT License
An evaluation framework for Large Language Model (LLM) responses using DSPy. | Language: Python
DSPy Prompt Optimizer | Language: Python | License: MIT License