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

AWS Machine Learning

Lambda functions also construct the prompts from the sanitized user input in the respective format expected by the LLM. Prerequisites Before getting started, make sure you have the following prerequisites: An AWS account. We encourage you to deploy the AWS CDK app into your account and build the Generative AI solution.

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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

In this post, we enable the provisioning of different components required for performing log analysis using Amazon SageMaker on AWS DeepRacer via AWS CDK constructs. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account. Navigate to the AWS Cloud9 console.

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Run your local machine learning code as Amazon SageMaker Training jobs with minimal code changes

AWS Machine Learning

This capability simplifies the SageMaker constructs that you need to learn to be able to run code using SageMaker Training. Shikhar aids in architecting, building, and maintaining cost-efficient, scalable cloud environments for the organization, and supports the GSI partner in building strategic industry solutions on AWS.