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hallucination_evaluation_model

vectara

👉 **Launch Interactive Demo** - No setup required, runs in your browser. Paste a source text and an LLM response to get a verdict, a 0-1 consistency score, and per-sentence scores. 💡 **Quick test**: Try "The capital of France is Berlin" as the source and "The capital of France is Paris" as the response to see HHEM detect this factual but hallucinated case. HHEM-2.1-Open is the latest open source version of Vectara's HHEM series models for detecting hallucinations in LLMs. These are particularly useful in the context of building retrieval-augmented-generation (RAG) applications or Agentic workflows, where a set of facts is summarized by an LLM, and HHEM can be used to measure the extent to which this summary is factually consistent with the facts.

Text analysis

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hallucination_evaluation_model

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