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DSPy GEPA synthetic data generation for instruction tuning Llama 3 on consulting one-pager and executive slide tasks. Outputs JSONL for AWS...
Demonstrates how to use the GEPA prompt optimizer in DSPy to improve a financial statement page extractor. | Language: Jupyter Notebook
Evidence of GitHub star manipulation in the DSPy repository (Aug-Sep 2023). Statistical analysis + forensic account investigation identifying 761...
DSPy framework recipes for building RAG applications - extracted from weaviate/recipes | Language: Jupyter Notebook
FastAPI + DSPy + Claude 4 comment generation AP | Language: Python
Language: Jupyter Notebook | License: Other
An advanced AI Math Tutor powered by LangGraph workflow orchestration, DSPy symbolic processing, and Qdrant vector search. Features MCP-based web...
This advanced research agent combines DSPy, ReAct, Tavily Search, and Crawl4AI to generate comprehensive, well-structured research reports. |...
An evaluation framework for Large Language Model (LLM) responses using DSPy. | Language: Python
DSPy example code for article. | Language: Python
Using DSPy to optimise prompts in generating tailored resumes based on a Job Description. | Language: Jupyter Notebook
DSPy example code for 2nd article. | Language: Python
Designing a multi-hop RAG using DSPy and Qdrant | Language: Jupyter Notebook
The presentation material for southcal meetup | Language: Jupyter Notebook
Comparison between DSPy vs LangChain for a simple RAG application. | Language: Python