FeaturedHallucination
Vectara launches the open source Hughes Hallucination Evaluation Model (HHEM) and uses it to compare hallucination rates across top LLMs including OpenAI, Cohere, PaLM, Anthropic’s Claude 2 and more.
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Celebrating 2 Million Downloads of HHEM
Vectara’s Hallucination Evaluation Model surpasses 2 million downloads as the fight against LLM hallucinations continues
HHEM 2.1: A Better Hallucination Detection Model and a New Leaderboard
The upgraded HHEM-2.1 outperforms both GPT-3.5-Turbo and GPT-4 for hallucination detection and is powering our updated HHEM leaderboard.
HHEM | Flash Update: Fast. But Are They Furious?
GPT4o and Gemini-1.5-Flash are fast and cheap, but hallucinate more
HHEM v2: A New and Improved Factual Consistency Scoring Model
Featuring multilinguality, unlimited context window, and calibration – The Hughes Hallucination Evaluation Model (HHEM) v2 is a major upgrade from v1
Do Smaller Models Hallucinate More?
Why the size of the model does not necessarily determine its likelihood to hallucinate
April Fools Prank: New No-hallucinations LLM
A new LLM achieves 0% hallucinations and is set to revolutionize RAG
HHEM | Flash Update: Anthropic Claude 3
See how Anthropic’s new Claude 3 LLM hallucinates compared to other foundation models in the Hughes Hallucination Evaluation Model (HHEM)
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