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Retrieval-Augmented Generation (RAG) is all the rage in the world of AI, as it’s a powerful technology that improves large language models (LLMs) prediction quality.

Organizations have been applying RAG in innovative ways to enhance user interaction and operational efficiency, but what are the benefits, how does DBRX compare, and how does RAG integrate with GenAI?

There is a significant opportunity to leverage Generative AI for Financial Services Use Cases. We summarize some of the potential areas customers can benefit from these capabilities to capitalize on one of your organizations largest assets – your data.