Release 2025-12-03

Author: AWS SDK for Go v2 automation user

.changelog/41575353444b40ffbf474f4155544f00.json

@@ -1,3 +1,13 @@
+# Release (2025-12-03)
+
+## Module Highlights
+* `github.com/aws/aws-sdk-go-v2/service/bedrock`: [v1.52.0](service/bedrock/CHANGELOG.md#v1520-2025-12-03)
+  * **Feature**: Adding support in Amazon Bedrock to customize models with reinforcement fine-tuning (RFT) and support for updating the existing Custom Model Deployments.
+* `github.com/aws/aws-sdk-go-v2/service/sagemaker`: [v1.228.0](service/sagemaker/CHANGELOG.md#v12280-2025-12-03)
+  * **Feature**: Introduces Serverless training: A fully managed compute infrastructure that abstracts away all infrastructure complexity, allowing you to focus purely on model development.
+
+Added AI model customization assets used to train, refine, and evaluate custom models during the model customization process.
+
 # Release (2025-12-02)
 
 ## General Highlights

.changelog/a150de8d71724879bdc2a115c84a7a20.json

@@ -1,3 +1,7 @@
+# v1.52.0 (2025-12-03)
+
+* **Feature**: Adding support in Amazon Bedrock to customize models with reinforcement fine-tuning (RFT) and support for updating the existing Custom Model Deployments.
+
 # v1.51.0 (2025-12-02)
 
 * **Feature**: Adds the audioDataDeliveryEnabled boolean field to the Model Invocation Logging Configuration.

.changelog/bc5d567586e142e0b4ba3fc53783b150.json

@@ -1,3 +1,9 @@
+# v1.228.0 (2025-12-03)
+
+* **Feature**: Introduces Serverless training: A fully managed compute infrastructure that abstracts away all infrastructure complexity, allowing you to focus purely on model development.
+
+Added AI model customization assets used to train, refine, and evaluate custom models during the model customization process.
+
 # v1.227.0 (2025-12-02)
 
 * **Feature**: Added support for serverless MLflow Apps.