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AWS sagemaker documentation change

Service: sagemaker · 2025-11-22 · Documentation low

File: sagemaker/latest/dg/nova-distillation.md

Summary

Fixed URL formatting by adding double slashes after domain in multiple documentation links

Security assessment

The changes only correct URL formatting without modifying security-related content. No evidence of addressing vulnerabilities or security incidents. The links relate to general IAM role creation, VPC configuration, and S3 operations which are standard AWS practices but not specific security fixes.

Diff

diff --git a/sagemaker/latest/dg/nova-distillation.md b/sagemaker/latest/dg/nova-distillation.md
index 442375dea..1cb3f7519 100644
--- a//sagemaker/latest/dg/nova-distillation.md
+++ b//sagemaker/latest/dg/nova-distillation.md
@@ -88 +88 @@ The data augmentation phase uses SageMaker training jobs to generate high-qualit
-To create IAM roles and attach policies, see [Creating roles and attaching policies (console)](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_job-functions_create-policies.html). If you use AWS CLI, follow instructions in [create-role](https://docs.aws.amazon.com/cli/latest/reference/iam/create-role.html) and [attach-role-policy](https://docs.aws.amazon.com/cli/latest/reference/iam/attach-role-policy.html). For more information, see [How to use SageMaker AI execution roles](https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html) from the _SageMaker AI Developer Guide_.
+To create IAM roles and attach policies, see [Creating roles and attaching policies (console)](https://docs.aws.amazon.com//IAM/latest/UserGuide/access_policies_job-functions_create-policies.html). If you use AWS CLI, follow instructions in [create-role](https://docs.aws.amazon.com//cli/latest/reference/iam/create-role.html) and [attach-role-policy](https://docs.aws.amazon.com//cli/latest/reference/iam/attach-role-policy.html). For more information, see [How to use SageMaker AI execution roles](https://docs.aws.amazon.com//sagemaker/latest/dg/sagemaker-roles.html) from the _SageMaker AI Developer Guide_.
@@ -181 +181 @@ Attach the following inline policy to customer execution role needed for Distill
-To create Amazon VPC configuration for SageMaker AI training jobs using the AWS Management Console, follow instructions in [Configure Your private VPC for SageMaker training (console)](https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
+To create Amazon VPC configuration for SageMaker AI training jobs using the AWS Management Console, follow instructions in [Configure Your private VPC for SageMaker training (console)](https://docs.aws.amazon.com//sagemaker/latest/dg/train-vpc.html).
@@ -257 +257 @@ Service-managed Amazon S3 bucket stores model weights. A service-managed Amazon
-To create a bucket in a specific AWS Region, use the [create-bucket](https://docs.aws.amazon.com/cli/latest/reference/s3api/create-bucket.html) CLI command. 
+To create a bucket in a specific AWS Region, use the [create-bucket](https://docs.aws.amazon.com//cli/latest/reference/s3api/create-bucket.html) CLI command. 
@@ -282 +282 @@ Before you start a training job, prepare your data.
-**Data format requirement -** Your input dataset must be in JSONL format with each line containing a sample in converse format for more information follow [Preparing data for distilling understanding models](https://docs.aws.amazon.com/nova/latest/userguide/custom-distill-prepare.html).
+**Data format requirement -** Your input dataset must be in JSONL format with each line containing a sample in converse format for more information follow [Preparing data for distilling understanding models](https://docs.aws.amazon.com//nova/latest/userguide/custom-distill-prepare.html).
@@ -365 +365 @@ Performance optimization
-  * Follow the guidelines in [Selecting hyperparameters](https://docs.aws.amazon.com/nova/latest/userguide/customize-fine-tune-hyperparameters.html) to adjust the hyperparameters
+  * Follow the guidelines in [Selecting hyperparameters](https://docs.aws.amazon.com//nova/latest/userguide/customize-fine-tune-hyperparameters.html) to adjust the hyperparameters
@@ -372 +372 @@ Performance optimization
-The following sample notebook demonstrates how to run a SageMaker training job for distillation. For more information, see [Use a SageMaker AI estimator to run a training job](https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers-adapt-your-own-private-registry-estimator.html).
+The following sample notebook demonstrates how to run a SageMaker training job for distillation. For more information, see [Use a SageMaker AI estimator to run a training job](https://docs.aws.amazon.com//sagemaker/latest/dg/docker-containers-adapt-your-own-private-registry-estimator.html).