Fact-Check Fix: Eliminating AI Hallucinations
Learn how Vectara’s RAG platform and Factual Consistency Score help mitigate AI hallucinations, enhancing trust, accuracy, and performance in enterprise AI applications.
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Hallucinations in AI-generated content pose significant challenges in ensuring trust and accuracy, particularly in enterprise applications. Retrieval-Augmented Generation (RAG) has emerged as a powerful technique to enhance the factual consistency of AI responses by grounding them in reliable source data.
This webinar will explore how Vectara's RAG platform, equipped with its Factual Consistency Score (powered by Vectara HHEM), provides a cutting-edge solution for mitigating hallucinations in AI-generated outputs. Attendees will learn about Vectara’s hallucination detection and correction models, and how to use them in generative AI applications.
Join us to learn how Vectara’s RAG platform is shaping the future of AI-driven content generation, enabling businesses to reduce hallucination, enhance user trust, and optimize AI performance in various domains.
