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GitHub - vectara/hallucination-leaderboard: Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents - GitHub - vectara/hallucination-leaderboard: Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

Prior researchHallucination evaluationSummary lengthDetecting hallucinationsLarge languageAnswer rateDaily mailRetrieval augmented generationBing chatFor anthropicHugging faceGoogle palmAverage summary length

Vectara Unveils Open-Source Hallucination Evaluation Model To Detect and Quantify Hallucinations in Top Large Language Models

Vectara Unveils Open-Source Hallucination Evaluation Model To Detect and Quantify Hallucinations in Top Large Language Models

Waleed kadousSimon hughesCarly bourneQuantify hallucinationsTop large languageLeaderboard provide new transparencyRisks associatedEnabling safer enterprise adoptionObjective governmentLanguage modelHallucination evaluationHallucination evaluation modelMatei zahariaHugging faceThrough open sourceChief scientist

Measuring Hallucinations in RAG Systems

Measuring Hallucinations in RAG Systems
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Shane connellyHallucination evaluation modelRetrieval augmented generationHallucination evaluationHugging faceHallucination rate

How Do We Manage AI Hallucinations?

AI can now generate responses to questions that seem eerily human. But sometimes, AI makes answers up. Are these fictitious responses actual hallucinations, or something else?

New yorkUnited statesMaryia fokinaGoogle bardChat generative pre trainedManage generativeJames webb space telescopeEnglish channelGolden gate bridgeGhosts outSchizophrenia bulletinCan be doneHallucination evaluationLarge language models

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