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One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of reference content related to an input prompt by performing similarity searches on embeddings. Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with […]
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Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart
Go Here to Read this Fast! Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart
