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Results 21 - 30 of 85 for host:docs.aws.amazon.com (0.02 sec)

  2. RStudio on Amazon SageMaker AI - Amazon SageMak...

    RStudio on Amazon SageMaker AI is an integrated development environment for R with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.
    docs.aws.amazon.com/sagemaker/latest/dg/rstudio.html
    more..
    Registered: Wed Feb 12 01:05:15 UTC 2025
    - Last Modified: Tue Feb 11 15:19:38 UTC 2025
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  3. What is Amazon EC2? - Amazon Elastic Compute Cloud

    Use Amazon EC2 for scalable computing capacity in the AWS Cloud so you can develop and deploy applications without hardware constraints.
    docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html
    more..
    Registered: Wed Feb 12 01:03:31 UTC 2025
    - Last Modified: Tue Feb 11 17:16:15 UTC 2025
    - 28.7K bytes
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  4. AWS Managed Policies for Amazon SageMaker Groun...

    Learn about AWS managed policies for SageMaker AI Ground Truth and recent changes to those policies.
    docs.aws.amazon.com/sagemaker/latest/dg/security-iam-awsmanpol-ground-truth.html
    more..
    Registered: Wed Feb 12 01:07:48 UTC 2025
    - Last Modified: Tue Feb 11 15:20:43 UTC 2025
    - 22K bytes
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  5. Built-in algorithms and pretrained models in Am...

    Use Amazon SageMaker built-in algorithms or pretrained models to quickly get started with fine-tuning or deploying models for specific tasks.
    docs.aws.amazon.com/sagemaker/latest/dg/algos.html
    more..
    Registered: Wed Feb 12 01:08:12 UTC 2025
    - Last Modified: Tue Feb 11 15:20:04 UTC 2025
    - 39.8K bytes
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  6. Guide to getting set up with Amazon SageMaker A...

    Guide for users to get set up with Amazon SageMaker AI. The guide is based on a users' use case.
    docs.aws.amazon.com/sagemaker/latest/dg/gs.html
    more..
    Registered: Wed Feb 12 01:08:25 UTC 2025
    - Last Modified: Tue Feb 11 15:19:17 UTC 2025
    - 13.5K bytes
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  7. Model parallelism and large model inference - A...

    Using SageMaker AI for large model inference.
    docs.aws.amazon.com/sagemaker/latest/dg/large-model-inference.html
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    Registered: Mon Dec 16 01:12:24 UTC 2024
    - Last Modified: Thu Dec 12 22:27:08 UTC 2024
    - 11.8K bytes
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  8. Fine-tune foundation models - Amazon SageMaker AI

    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
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    Registered: Mon Dec 16 01:12:34 UTC 2024
    - Last Modified: Thu Dec 12 22:26:17 UTC 2024
    - 34.5K bytes
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  9. SageMaker Studio image support policy - Amazon ...

    The following page describes the support policy for Amazon SageMaker Distribution Docker images that are available on SageMaker Studio.
    docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-distribution.html
    more..
    Registered: Mon Dec 16 01:12:37 UTC 2024
    - Last Modified: Thu Dec 12 22:26:07 UTC 2024
    - 38.9K bytes
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  10. Understand options for evaluating large languag...

    Learn how to evaluate a text-based foundation model by using SageMaker Clarify
    docs.aws.amazon.com/sagemaker/latest/dg/clarify-foundation-model-evaluate.html
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    Registered: Mon Dec 16 01:12:40 UTC 2024
    - Last Modified: Thu Dec 12 22:27:21 UTC 2024
    - 16.6K bytes
    - Viewed (0)

  11. 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: Mon Dec 16 01:13:26 UTC 2024
    - Last Modified: Thu Dec 12 22:27:13 UTC 2024
    - 14.5K bytes
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