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hallucination-detection

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verifAI

VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)

  • Updated Nov 14, 2024
  • Jupyter Notebook

This repo hosts the Python SDK and related examples for AIMon, which is a proprietary, state-of-the-art system for detecting LLM quality issues such as Hallucinations. It can be used during offline evals, continuous monitoring or inline detection. We offer various model quality metrics that are fast, reliable and cost-effective.

  • Updated Nov 12, 2024
  • Python

PAS2: A Python-based hallucination detection system that evaluates AI response consistency through paraphrasing and semantic similarity analysis. Features include response evaluation, similarity metrics, visualization tools, and a web interface for interactive testing.

  • Updated Nov 11, 2024
  • Python

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

  • Updated Aug 18, 2024
  • Python

Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the available tool, methods, repo, code etc to detect hallucination, LLM evaluation, grading and much more.

  • Updated Jul 10, 2024
  • Jupyter Notebook

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