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An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview)

Flipboard

The SageMaker Unified Studio provides the following quick access menu options from Home : Discover : Data catalog Find and query data assets and explore ML models Generative AI playground Experiment with the chat or image playground Shared generative AI assets Explore generative AI applications and prompts shared with you.

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Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark

AWS Machine Learning Blog

An AI technique called embedding language models converts this external data into numerical representations and stores it in a vector database. This process creates a knowledge library that generative AI models can understand. Data must be preprocessed to enable semantic search during inference.

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