fixes

Author: santiagxf

articles/ai-studio/ai-services/how-to/create-model-deployments.md

@@ -57,4 +57,4 @@ When creating model deployments, you can configure additional settings including
 
 ## Next steps
 
-* [Develop applications using Azure AI model inference service in Azure AI services](../endpoints.md)
+* [Develop applications using Azure AI model inference service in Azure AI services](../concepts/endpoints.md)

articles/ai-studio/includes/ai-services/add-model-deployments.md

@@ -31,7 +31,7 @@ You can add all the models you need in the endpoint by using [Azure AI Studio fo
    > [!TIP]
    > Each model may support different deployments types, providing different data residency or throughput guarantees. See [deployment types](/azure/ai-studio/ai-services/concepts/deployment-types) for more details.
 
-7.  Use the **Customize** option if you need to change settings like [content filter](/azure/ai-studio/ai-services/concepts/content-filter) or rate limiting (if available).
+7.  Use the **Customize** option if you need to change settings like [content filter](/azure/ai-studio/concepts/content-filtering) or rate limiting (if available).
 
    :::image type="content" source="../../media/ai-services/add-model-deployments/models-deploy-customize.png" alt-text="An screenshot showing how to customize the deployment if needed." lightbox="../../media/ai-services/add-model-deployments/models-deploy-customize.png":::