PatALLM is a foundational monorepo establishing the infrastructure for a suite of LLM utility tools. It addresses key challenges in LLM deployment, including fragmentation across providers, lack of output verification, and opaque hallucination issues. The project aims to provide a unified interface for multiple LLM providers, robust verification pipelines to validate outputs against source materials, and systematic strategies for detecting, scoring, and mitigating LLM hallucinations. While currently in an 'Infrastructure Ready' state with core abstractions and governance established, its vision is to deliver comprehensive solutions for more reliable and trustworthy LLM interactions.
Características Principales
01Strategies for mitigating LLM hallucinations
023 GitHub stars
03Unified interface for multiple LLM providers
04Verification engine for LLM output against source material
05Hallucination detection and confidence scoring
06Modular architecture for core LLM utility components
