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Learn how we built Mockingbird V3 MM, a multimodal model for semiconductor AI agents that can produce grounded answers and work through multi-step engineering tasks.
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GPT4o and Gemini-1.5-Flash are fast and cheap, but hallucinate more
Featuring multilinguality, unlimited context window, and calibration – The Hughes Hallucination Evaluation Model (HHEM) v2 is a major upgrade from v1
Why the size of the model does not necessarily determine its likelihood to hallucinate
A new LLM achieves 0% hallucinations and is set to revolutionize RAG
See how Anthropic’s new Claude 3 LLM hallucinates compared to other foundation models in the Hughes Hallucination Evaluation Model (HHEM)
See how Google Gemma hallucinates compared to other foundation models in the Hughes Hallucination Evaluation Model (HHEM)
See how Phi 2 compares to Mixtral 8x7B and Titan Express in the Hughes Hallucination Evaluation Model (HHEM)
Vectara launches open-source Hallucination Evaluation Model (HEM) that provides a FICO-like score for grading how often a generative LLM hallucinates in Retrieval Augmented Generation (RAG) systems.
