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Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning

Alternative LLMs can be deployed based on the use case and model performance benchmarks. Dataset overview The dataset used for this solution is pile-of-law within the Hugging Face repository. For this example, we use train.cc_casebooks.jsonl.xz For more information, refer to Amazon SageMaker Identity-Based Policy Examples.

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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

models demonstrate state-of-the-art performance on a wide range of industry benchmarks and introduce features to help you build a new generation of AI experiences. The context will be coming from your RAG solutions like Amazon Bedrock Knowledgebases. See Amazon Bedrock Recipes and GitHub for more examples. from sagemaker.s3

APIs 141