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Vectara Unveils Open-Source Hallucination Evaluation Model To Detect and Quantify Hallucinations in Top Large Language Models

Groundbreaking Model and Leaderboard Provide New Transparency into Risks Associated with GenAI Chatbots from OpenAI, Anthropic, and Others, Enabling Safer Enterprise Adoption and Objective Government Oversight SANTA CLARA, Calif., Nov. 06, 2023 (Korea Bizwire) – Large Language Model (LLM) builder Vectara, the trusted Generative AI (GenAI) platform, released its open-source Hallucination Evaluation Model. This is a [...]

Vectara Launches Boomerang: The Next-Gen Large Language Model Redefining GenAI Accuracy

Outpacing Major Competitors, Boomerang Sets a New Benchmark in Grounded Generative AI for Business Applications: Mitigating Hallucinations and Copyright Concerns, Minimizing Bias, Enhancing Explainability, and Broadening Cross-Lingual Reach SANTA CLARA, Calif., Sept. 26, 2023 (Korea Bizwire) – Large Language Model (LLM) builder Vectara, the trusted Generative AI (GenAI) platform unveiled Boomerang, a next-gen neural information retrieval [...]

Vectara Now Available with LangChain

SANTA CLARA, Calif., June 6 (Korea Bizwire) – Vectara, the Generative AI (GenAI) conversational search platform, announces its integration with LangChain, a leading open-source project for building LLM-powered applications. With this integration, LangChain developers can have immediate access to Vectara’s platform for “Grounded Generation,” which features high-precision search results, including both neural and hybrid search, and [...]

Grounded Generation from Vectara Defines a New Gold Standard for Generative AI Use for Business Data

SANTA CLARA, Calif., May 30 (Korea Bizwrie) – Vectara, the Generative AI (GenAI) conversational search platform, has established itself as a leading player in GenAI with the release of an all-new “Grounded Generation” capability that all but eliminates hallucinations. With this release, Vectara empowers developers to rapidly and easily build conversational AI products with world-class retrieval, [...]