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AWS sagemaker documentation change

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

File: sagemaker/latest/dg/nova-model-evaluation.md

Summary

Fixed URL formatting in two documentation links (Amazon Bedrock Runtime APIs and SageMaker estimator guide) by adding extra slashes

Security assessment

The changes are purely URL syntax corrections without any security context or references to security features/vulnerabilities.

Diff

diff --git a/sagemaker/latest/dg/nova-model-evaluation.md b/sagemaker/latest/dg/nova-model-evaluation.md
index d82a5bde9..11ab5ff8d 100644
--- a//sagemaker/latest/dg/nova-model-evaluation.md
+++ b//sagemaker/latest/dg/nova-model-evaluation.md
@@ -13 +13 @@ The purpose of the evaluation process is to assess trained-model performance aga
-The evaluation process described in this topic is an offline process. The model is tested against fixed benchmarks with predefined answers, rather than being assessed in real-time or through live user interactions. For real-time evaluation, you can test the model after it has been deployed to Amazon Bedrock by calling [Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/import-with-create-custom-model.html) Runtime APIs.
+The evaluation process described in this topic is an offline process. The model is tested against fixed benchmarks with predefined answers, rather than being assessed in real-time or through live user interactions. For real-time evaluation, you can test the model after it has been deployed to Amazon Bedrock by calling [Amazon Bedrock](https://docs.aws.amazon.com//bedrock/latest/userguide/import-with-create-custom-model.html) Runtime APIs.
@@ -699 +699 @@ To use your custom dataset, modify your evaluation recipe with the following req
-Start a training job using the following sample Jupyter notebook. 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).
+Start a training job using the following sample Jupyter notebook. 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).