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awstools
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Nov 29, 2023
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[ | ||
{ | ||
"type": "feature", | ||
"category": "ApplicationAutoScaling", | ||
"description": "Amazon SageMaker customers can now use Application Auto Scaling to automatically scale the number of Inference Component copies across an endpoint to meet the varying demand of their workloads." | ||
}, | ||
{ | ||
"type": "feature", | ||
"category": "CleanRooms", | ||
"description": "AWS Clean Rooms now provides differential privacy to protect against user-identification attempts and machine learning modeling to allow two parties to identify similar users in their data." | ||
}, | ||
{ | ||
"type": "feature", | ||
"category": "CleanRoomsML", | ||
"description": "Public Preview SDK release of AWS Clean Rooms ML APIs" | ||
}, | ||
{ | ||
"type": "feature", | ||
"category": "OpenSearch", | ||
"description": "Launching Amazon OpenSearch Service support for new zero-ETL integration with Amazon S3. Customers can now manage their direct query data sources to Amazon S3 programatically" | ||
}, | ||
{ | ||
"type": "feature", | ||
"category": "OpenSearchServerless", | ||
"description": "Amazon OpenSearch Serverless collections support an additional attribute called standby-replicas. This allows to specify whether a collection should have redundancy enabled." | ||
}, | ||
{ | ||
"type": "feature", | ||
"category": "SageMaker", | ||
"description": "This release adds following support 1/ Improved SDK tooling for model deployment. 2/ New Inference Component based features to lower inference costs and latency 3/ SageMaker HyperPod management. 4/ Additional parameters for FM Fine Tuning in Autopilot" | ||
}, | ||
{ | ||
"type": "feature", | ||
"category": "SageMakerRuntime", | ||
"description": "This release adds InferenceComponentName to InvokeEndpoint and InvokeEndpointWithResponseStream APIs to get inferences from the deployed InferenceComponents." | ||
} | ||
] |
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