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UQLM

AI Agents & Assistants

A Python library that detects hallucinations in large language model outputs using uncertainty quantification techniques

Python Latest v0.6.0 · 6d ago Security brief →

Features

  • Provides response‑level scorers that output a confidence score (0–1) indicating hallucination likelihood
  • Offers multiple scorer families: black‑box consistency, white‑box token‑probability, LLM‑as‑judge, ensemble and long‑text claim‑level
  • Works with any LLM thanks to universal compatibility of its scorers

Recent releases

View all 36 releases →
No immediate action
v0.6.0 New feature

CodeGenUQ uncertainty quantification

Review required
v0.5.11 Maintenance
Dependencies

Routine maintenance and dependency updates.

No immediate action
v0.5.10 Bug fix

Logprob fixes for Llama

No immediate action
v0.5.9 Maintenance

Routine maintenance and dependency updates.

No immediate action
v0.5.8 Maintenance

Routine maintenance and dependency updates.

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About

Stars
1,160
Forks
125
Language
Python

Install & Platforms

Install via
pip

Community & Support

Beta — feedback welcome: [email protected]