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Results 41 - 50 of 64 for host:docs.aws.amazon.com (0.02 sec)

  2. Deploy models for inference - Amazon SageMaker

    Learn more about how to get inferences from your Amazon SageMaker models and deploy your models for serving inference.
    docs.aws.amazon.com/sagemaker/latest/dg/deploy-model.html
    more..
    Registered: Fri Nov 15 01:12:23 UTC 2024
    - Last Modified: Thu Nov 14 20:52:45 UTC 2024
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  3. Lift-and-shift Python code with the @step decor...

    Learn how to use the @step decorator to convert local code to pipeline steps.
    docs.aws.amazon.com/sagemaker/latest/dg/pipelines-step-decorator.html
    more..
    Registered: Fri Nov 15 01:12:32 UTC 2024
    - Last Modified: Thu Nov 14 20:52:45 UTC 2024
    - 14.6K bytes
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  4. Fine-tune foundation models - Amazon SageMaker

    Fine-tune foundation models on your data to get responses that are customized to your use case.
    docs.aws.amazon.com/sagemaker/latest/dg/canvas-fm-chat-fine-tune.html
    more..
    Registered: Fri Nov 15 01:12:36 UTC 2024
    - Last Modified: Thu Nov 14 20:51:59 UTC 2024
    - 34.6K bytes
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  5. SageMaker Autopilot - Amazon SageMaker

    Automatically build, train, tune, and deploy models using Autopilot.
    docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html
    more..
    Registered: Fri Nov 15 01:13:42 UTC 2024
    - Last Modified: Thu Nov 14 20:51:44 UTC 2024
    - 25.3K bytes
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  6. Training data labeling using humans with Amazon...

    Learn more about creating labeling jobs that use human workers to label your training data
    docs.aws.amazon.com/sagemaker/latest/dg/sms.html
    more..
    Registered: Fri Nov 15 01:13:55 UTC 2024
    - Last Modified: Thu Nov 14 20:52:12 UTC 2024
    - 16.7K bytes
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  7. Model parallelism and large model inference - A...

    Using SageMaker for large model inference.
    docs.aws.amazon.com/sagemaker/latest/dg/large-model-inference.html
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    Registered: Fri Nov 15 01:12:39 UTC 2024
    - Last Modified: Thu Nov 14 20:52:41 UTC 2024
    - 11.9K bytes
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  8. Attach Suggested Git Repos to Studio Classic - ...

    Learn how to attach and detach Git repo URLs to Amazon SageMaker Studio Classic with this tutorial series.
    docs.aws.amazon.com/sagemaker/latest/dg/studio-git-attach.html
    more..
    Registered: Fri Nov 15 01:15:21 UTC 2024
    - Last Modified: Thu Nov 14 20:51:51 UTC 2024
    - 13K bytes
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  9. Amazon SageMaker Studio Lab - Amazon SageMaker

    Describes Amazon SageMaker Studio Lab and how to use it.
    docs.aws.amazon.com/sagemaker/latest/dg/studio-lab.html
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    Registered: Fri Nov 15 01:13:26 UTC 2024
    - Last Modified: Thu Nov 14 20:51:56 UTC 2024
    - 13.9K bytes
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  10. Pipelines steps - Amazon SageMaker

    Describes the step types in Amazon SageMaker Pipelines.
    docs.aws.amazon.com/sagemaker/latest/dg/build-and-manage-steps.html
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    Registered: Fri Nov 15 01:13:33 UTC 2024
    - Last Modified: Thu Nov 14 20:52:45 UTC 2024
    - 23.2K bytes
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  11. Deploy models with Amazon SageMaker Serverless ...

    Deploy and scale ML models without configuring or managing any of the underlying infrastructure with Amazon SageMaker Serverless Inference.
    docs.aws.amazon.com/sagemaker/latest/dg/serverless-endpoints.html
    more..
    Registered: Fri Nov 15 01:14:29 UTC 2024
    - Last Modified: Thu Nov 14 20:52:40 UTC 2024
    - 27.5K bytes
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