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AI lie detector: How HallOumi’s open-source approach to hallucination could unlock enterprise AI adoption
Oumi's open-source HallOumi tool helps enterprises combat AI hallucinations through sentence-level verification that provides confidence scores, citations and human-readable explanations.
On April 2, the company released HallOumi, an open-source claim verification model designed to solve the accuracy problem through a novel approach to hallucination detection. What sets HallOumi apart from other grounding approaches is how it complements rather than replaces existing techniques like RAG (retrieval augmented generation) while offering more detailed analysis than typical guardrails. For enterprises on a slower AI adoption curve, HallOumi’s open-source nature means they can experiment with the technology now while Oumi offers commercial support options as needed.
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