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Introducing the Next Generation of Vectara's Hallucination Leaderboard
Vectara’s Hallucination Leaderboard has been a critical tool for tracking and comparing the factuality of large language models. But as AI models evolve, so must the way we measure them. We're excited to introduce a new, more granular hallucination leaderboard.
Your Copilot is Not Enough
Why Microsoft’s Copilot is to GenAI like Windows-95 is to operating systems.
When AI “Assures” Without Evidence: Lessons from Deloitte’s $290K Hallucination
A costly lesson in why AI outputs must be verifiable
Hallucination Detection: Commercial vs Open Source - A Deep Dive
HHEM-2.1-Open is the de facto open-source hallucination evaluation model for RAG, but how much better is the commercial version available in Vectara’s platform?
Why does Deepseek-R1 hallucinate so much?
A deeper dive on why DeepSeek R1 hallucinates more than DeepSeek V3
DeepSeek-R1 hallucinates more than DeepSeek-V3
DeepSeek has shaken the AI industry with its release of Deepseek-R1, but it turns out that Deepseek-R1 has a hallucination problem.
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.
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