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LangFair
Python library for assessing LLM bias and fairness.
FrameworkOpen SourceGrowing
What is LangFair?
LangFair is python library for assessing LLM bias and fairness.
About
LangFair is a comprehensive Python library designed for conducting bias and fairness assessments of large language model (LLM) use cases. It allows users to tailor evaluations to specific prompts, ensuring metrics reflect real-world performance. Key capabilities include toxicity and stereotype metrics computation, counterfactual response generation, and a semi-automated evaluation process.
Strengths
- Customizable evaluations with BYOP approach
- Comprehensive metrics for bias and fairness
- Supports various LLM integrations
- Includes demo notebooks for easy onboarding
- Focus on output-based metrics for practical use
Limitations
- Requires familiarity with Python and LLMs
- May need additional setup for optimal performance
- Limited to bias and fairness assessments only
Use Cases
Assessing bias in text generation applicationsEvaluating fairness in recommendation systemsMeasuring stereotype risks in summarization tasksGenerating counterfactual responses for analysisConducting governance audits for LLM outputs
Integrations
LangChainChatVertexAIPyTorch