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onestardao avatar

onestardao/WFGY

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View on GitHub↗
1,489 stars·125 forks·Jupyter Notebook·mit·3 viewsgithub.com/onestardao/WFGY↗

WFGY

Features

  • AI Security Frameworks - Diagnostic handbook for identifying and remediating AI failure modes.
  • Evaluation Frameworks - Checklist for diagnosing RAG and LLM pipeline failures.
  • Explainable AI Libraries - Experimental tools for model explanation and analysis.
  • GraphRAG Frameworks - Toolkit for identifying failure modes in retrieval and LLM pipelines.
  • RAG Frameworks and Toolkits - Structured troubleshooting guide for identifying RAG system failures.
  • Reliability and Debugging - Open-source debugging infrastructure for RAG and AI agents. Includes 16-problem RAG failure map and TXT stress-test engine.
  • Testing and Quality - Checklist for diagnosing RAG and LLM failure modes.
  • Quantitative Research Tools - Framework for stress testing LLM agents and RAG pipelines.

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Frequently asked questions

What are the main features of onestardao/wfgy?

The main features of onestardao/wfgy are: AI Security Frameworks, Evaluation Frameworks, Explainable AI Libraries, GraphRAG Frameworks, RAG Frameworks and Toolkits, Reliability and Debugging, Testing and Quality, Quantitative Research Tools.

What are some open-source alternatives to onestardao/wfgy?

Open-source alternatives to onestardao/wfgy include: confident-ai/deepeval — Deepeval is a framework for testing and evaluating large language model applications. It provides a suite of tools for… microsoft/ai-system — AI-System is an educational resource and toolkit designed for learning the hardware and software foundations of deep… memgraph/memgraph — Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management.… jindaxiang/akshare — AkShare is a Python financial data library and programmatic interface designed for fetching real-time and historical… andosa/treeinterpreter — TreeInterpreter. algofairness/blackboxauditing — This repository contains a sample implementation of Gradient Feature Auditing (GFA) meant to be generalizable to most…

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