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 - page 12

ResearchJUN 21, 2023

Generative AI: Build vs. Buy and Choosing the Right Path at the Crossroads

When organizations consider upgrading their outdated technology to a more advanced generative AI system, they face a crucial decision: build or buy.

Application DevelopmentJUN 15, 2023

5 Reasons to Use Vectara’s LangChain Integration

Why Vectara is better for enterprise-scale LangChain applications

VectaraJUN 13, 2023

The First 3 Women at Vectara: Generating and Advancing a Culture of Success at an AI Startup

Learn what it means to be one of the first three women at an AI tech startup

Retrieval and SearchJUN 8, 2023

The Great Search Disruption

Rethinking the human-computer interface in the era of GenAI

Application DevelopmentJUN 8, 2023

Developing Applications with Retrieval Augmented Generation

How developers can build GenAI conversational search applications with Vectara’s Retrieval Augmented Generation

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.