In this session attendees learned how to make AI truly dependable in critical operations. They were joined by John Bohannon, VP of Data Science at Primer, for an in-depth exploration of RAG-Verification (RAG-V) — a system designed to reduce hallucination rates in Large Language Models (LLMs) by 100x. In this session attendees learned:How RAG-V detects and corrects factual errors, using a fact-checking approach that’s tailored for c...