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Using a dataset from Cleanlab.ai, evaluate improvements from using DSPy + GEPA optimization. | Language: Jupyter Notebook
Jupyter Notebooks meiner 30 Tage DSPy Challange | Language: Jupyter Notebook
Comparing Prompt Engineering techniques for extracting Functional Requirements from medical conversations using DSPy and RAG | Language: Python
Local AI agent project for retail analytics using DSPy and SQLite | Language: Python
Writing Optimized Triton Kernels using DSPy and local LLMs | Language: Python
A local, offline-first AI agent built with DSPy, LangGraph, and Phi-3.5. Combines RAG and SQL to answer retail business questions. | Language: Python
Course notes for the DeepLearning.ai course DSPy: Build and Optimize Agentic Apps | Language: Jupyter Notebook
DSPy: Build and Optimize Agentic Apps | Language: Jupyter Notebook
Language: Jupyter Notebook
Language: Jupyter Notebook | License: MIT License
Enterprise AI Context Engineering with GEPA-DSPy - Comprehensive platform for AI context optimization with Supabase and Vercel deployment | Language:...
DSPy Hub: Share and discover optimized DSPy programs | Language: Python
DSPy artifacts for training on private data, signatures, modules, adapters, tools. By SmallCloud | Language: Python