[
  {
    "category": "``application-autoscaling``",
    "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": "api-change"
  },
  {
    "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": "api-change"
  },
  {
    "category": "``cleanroomsml``",
    "description": "Public Preview SDK release of AWS Clean Rooms ML APIs",
    "type": "api-change"
  },
  {
    "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": "api-change"
  },
  {
    "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": "api-change"
  },
  {
    "category": "``sagemaker-runtime``",
    "description": "Update sagemaker-runtime client to latest version",
    "type": "api-change"
  },
  {
    "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": "api-change"
  },
  {
    "category": "``sts``",
    "description": "Documentation updates for AWS Security Token Service.",
    "type": "api-change"
  },
  {
    "category": "``endpoint-rules``",
    "description": "Update endpoint-rules client to latest version",
    "type": "api-change"
  }
]