Merge pull request #285364 from ositanachi/patch-5

Update deploy-models-serverless.md

Author: prmerger-automator[bot]

articles/ai-studio/how-to/deploy-models-serverless.md

@@ -324,6 +324,8 @@ In this section, you create an endpoint with the name **meta-llama3-8b-qwerty**.
     1. Give the deployment a name. This name becomes part of the deployment API URL. This URL must be unique in each Azure region.
 
         :::image type="content" source="../media/deploy-monitor/serverless/deployment-name.png" alt-text="A screenshot showing how to specify the name of the deployment you want to create." lightbox="../media/deploy-monitor/serverless/deployment-name.png":::
+       > [!TIP]
+       > The **Content filter (preview)** option is enabled by default. Leave the default setting for the service to detect harmful content such as hate, self-harm, sexual, and violent content. For more information about content filtering, see [Content filtering in Azure AI Studio](../concepts/content-filtering.md).
 
     1. Select **Deploy**. Wait until the deployment is ready and you're redirected to the Deployments page.
 

articles/machine-learning/how-to-deploy-models-serverless.md

@@ -266,6 +266,8 @@ In this section, you create an endpoint with the name **meta-llama3-8b-qwerty**.
     1. Give the deployment a name. This name becomes part of the deployment API URL. This URL must be unique in each Azure region.
 
         :::image type="content" source="media/how-to-deploy-models-serverless/deployment-name.png" alt-text="A screenshot showing how to specify the name of the deployment you want to create." lightbox="media/how-to-deploy-models-serverless/deployment-name.png":::
+       > [!TIP]
+       > The **Content filter (preview)** option is enabled by default. Leave the default setting for the service to detect harmful content such as hate, self-harm, sexual, and violent content. For more information about content filtering, see [Content safety for models deployed via serverless APIs](concept-model-catalog.md#content-safety-for-models-deployed-via-maas).
 
     1. Select **Deploy**. Wait until the deployment is ready and you're redirected to the Deployments page.