Klarity: Uncovering Uncertainty in Generative Models
2025-02-03
Klarity is a tool for analyzing uncertainty in generative model outputs. It combines raw probability analysis and semantic understanding to provide deep insights into model behavior during text generation. The library offers dual entropy analysis, semantic clustering, and structured JSON output, along with AI-powered analysis for human-readable insights. Currently supporting Hugging Face Transformers, with plans for broader framework and model support.