Grounding - Enhance GEN AI with YOUR DATA (youtube.com)

The article discusses techniques for grounding generative AI models to ensure their outputs are accurate and reliable by integrating real-world data, employing human oversight, and using multiple models to verify results. These methods are crucial for preventing errors in fields like healthcare, finance, and legal services, and involve strategies like Retrieval-Augmented Generation (RAG) and Reinforcement Learning from Human Feedback (RLHF).

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