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2861: Beyond Hallucinations: The Role of Retrieval-Augmented Generation (RAG) in Trustworthy AI

Informações:

Sinopsis

Are AI hallucinations undermining trust in machine learning, and can Retrieval-Augmented Generation (RAG) offer a solution? As we invite Rahul Pradhan, VP of Product and Strategy at Couchbase, to our podcast, we delve into the fascinating yet challenging issue of AI hallucinations—situations where AI systems generate plausible but factually incorrect content. This phenomenon poses risks to AI's reliability and threatens its adoption across critical sectors like healthcare and legal industries, where precision is paramount. In this episode, Rahul will explain how these hallucinations occur in AI models that operate on probability, often simulating understanding without genuine comprehension. The consequences? A potential erosion of trust in automated systems is a barrier that is particularly significant in domains where the stakes are high, and errors can have profound implications. But fear not, there's a beacon of hope on the horizon—Retrieval-Augmented Generation (RAG).  Rahul will discuss how RAG integrate