FeaturedHallucinationNOV 6, 2023

Cut the Bull... Detecting Hallucinations in Large Language Models

Simon Hughes

Cut the Bull... Detecting Hallucinations in Large Language Models

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.

Simon Hughes

Blog - Hallucination - Page 2

HallucinationFEB 22, 2024

HHEM | Flash Update: Google Gemma

See how Google Gemma hallucinates compared to other foundation models in the Hughes Hallucination Evaluation Model (HHEM)

HallucinationJAN 16, 2024

HHEM | Flash Update: Phi 2

See how Phi 2 compares to Mixtral 8x7B and Titan Express in the Hughes Hallucination Evaluation Model (HHEM)

HallucinationNOV 6, 2023

Measuring Hallucinations in RAG Systems

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.

HallucinationSEP 28, 2023

How Vectara's New Boomerang Model Takes Retrieval Augmented Generation to the Next Level via Grounded Generation

Learn about the benefits of Vectara’s new embedding model “Boomerang,” including how our version of Retrieval Augmented Generation (RAG), called Grounded Generation, is smarter than other systems

HallucinationMAY 31, 2023

Retrieval Augmented Generation: Making Generative AI Safe, Trustworthy, and More Relevant

While generative AI is a powerful technique that promises to revolutionize how we interact with computers, it has serious drawbacks. Vectara’s Retrieval Augmented Generation approach addresses those drawbacks, making generative AI safer and more cost-effective to use.