As an increasing number of organizations leverage internal data for optimizing outputs in generative AI through Retrieval Augmented Generation (RAG), concerns about potential internal data leaks have grown. This talk delves into strategies for securely transmitting and storing the internal data used in RAG. Additionally, explore methods for identifying sensitive data and learn about best practices for subsequent measures to address these concerns.
Learn more about AWS re:Inforce at https://go.aws/reinforce.
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