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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.htmlRegistered: Wed Feb 12 01:05:15 UTC 2025 - Last Modified: Tue Feb 11 15:19:38 UTC 2025 - 20.2K bytes - Viewed (0) -
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.htmlRegistered: Wed Feb 12 01:03:31 UTC 2025 - Last Modified: Tue Feb 11 17:16:15 UTC 2025 - 28.7K bytes - Viewed (0) -
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.htmlRegistered: Wed Feb 12 01:07:48 UTC 2025 - Last Modified: Tue Feb 11 15:20:43 UTC 2025 - 22K bytes - Viewed (0) -
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.htmlRegistered: Wed Feb 12 01:08:12 UTC 2025 - Last Modified: Tue Feb 11 15:20:04 UTC 2025 - 39.8K bytes - Viewed (0) -
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.htmlRegistered: Wed Feb 12 01:08:25 UTC 2025 - Last Modified: Tue Feb 11 15:19:17 UTC 2025 - 13.5K bytes - Viewed (0) -
Model parallelism and large model inference - A...
Using SageMaker AI for large model inference.docs.aws.amazon.com/sagemaker/latest/dg/large-model-inference.htmlRegistered: Mon Dec 16 01:12:24 UTC 2024 - Last Modified: Thu Dec 12 22:27:08 UTC 2024 - 11.8K bytes - Viewed (0) -
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.htmlRegistered: Mon Dec 16 01:12:34 UTC 2024 - Last Modified: Thu Dec 12 22:26:17 UTC 2024 - 34.5K bytes - Viewed (0) -
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.htmlRegistered: Mon Dec 16 01:12:37 UTC 2024 - Last Modified: Thu Dec 12 22:26:07 UTC 2024 - 38.9K bytes - Viewed (0) -
Understand options for evaluating large languag...
Learn how to evaluate a text-based foundation model by using SageMaker Clarifydocs.aws.amazon.com/sagemaker/latest/dg/clarify-foundation-model-evaluate.htmlRegistered: Mon Dec 16 01:12:40 UTC 2024 - Last Modified: Thu Dec 12 22:27:21 UTC 2024 - 16.6K bytes - Viewed (0) -
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.htmlRegistered: Mon Dec 16 01:13:26 UTC 2024 - Last Modified: Thu Dec 12 22:27:13 UTC 2024 - 14.5K bytes - Viewed (0)