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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Blog - page 13
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Vectara-ingest: Data Ingestion made easy
A collection of crawlers for the Vectara community, making crawling and indexing documents quick and easy
Avoiding hallucinations in LLM-powered Applications 12
LLM hallucinations and how to avoid them with Grounded Generation
Building An LLM-Powered Search Box with Vectara
A sample app demonstrating how to build a search experience powered by Vectara
Large Language Models Use Cases and Applications
Large Language Models and the applications they power, like ChatGPT, are all over the news and our social media discussions these days. This article cuts through the noise and summarizes the most common use cases to which these are successfully being applied.
Say Hello to Vectara's “API Playground”
Hello Vectara users! We wanted to announce a few key developer-focused features that are now ready for you to try and provide us with more feedback! Some of these are the most requested features by our community, so we’re happy to be able to deliver them!
Introducing Vectara InstantIndex
Vectara discusses the new “InstantIndex” feature and how it helps batch and incremental indexing
How to crawl websites for search (part 2)
This is part 2 of a 2 part blog of how to crawl websites. Part 1 is available here. After talking about some of the good and bad practices to…
How to crawl websites for search
This is part 1 of a 2 part blog of how to crawl websites. Suppose you have a website, and on that website is a bunch of content that you…
Search by Meaning
Seeking knowledge about our world is something that all of us need. It is a task that goes back to the dawn of human civilization, ever since we figured out…
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