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AWS CLI Command Reference

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If you would like to suggest an improvement or fix for the AWS CLI, check out ourcontributing guide on GitHub.

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First time using the AWS CLI? See theUser Guide for help getting started.

[aws ]

sagemaker-a2i-runtime

Description

Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning application. When an AI application can’t evaluate data with a high degree of confidence, human reviewers can take over. This human review is called a human review workflow. To create and start a human review workflow, you need three resources: aworker task template , aflow definition , and ahuman loop .

For information about these resources and prerequisites for using Amazon A2I, seeGet Started with Amazon Augmented AI in the Amazon SageMaker Developer Guide.

This API reference includes information about API actions and data types that you can use to interact with Amazon A2I programmatically. Use this guide to:

  • Start a human loop with theStartHumanLoop operation when using Amazon A2I with acustom task type . To learn more about the difference between custom and built-in task types, seeUse Task Types . To learn how to start a human loop using this API, seeCreate and Start a Human Loop for a Custom Task Type in the Amazon SageMaker Developer Guide.
  • Manage your human loops. You can list all human loops that you have created, describe individual human loops, and stop and delete human loops. To learn more, seeMonitor and Manage Your Human Loop in the Amazon SageMaker Developer Guide.

Amazon A2I integrates APIs from various AWS services to create and start human review workflows for those services. To learn how Amazon A2I uses these APIs, seeUse APIs in Amazon A2I in the Amazon SageMaker Developer Guide.

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