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

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@@ -325,7 +325,7 @@ In this section, you create an endpoint with the name **meta-llama3-8b-qwerty**.
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:::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":::
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> [!TIP]
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> Content filter (preview) is enabled by default. Turning it off runs a higher risk of exposing users to harmful content. Learn more about [content filtering (preview) for serverless endpoints](https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-catalog?view=azureml-api-2#content-safety-for-models-deployed-via-maas).
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> Content filter (preview) is enabled by default. Turning it off runs a higher risk of exposing users to harmful content. Learn more about [content filtering (preview) for serverless endpoints](https://learn.microsoft.com/azure/machine-learning/concept-model-catalog?view=azureml-api-2#content-safety-for-models-deployed-via-maas).
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1. Select **Deploy**. Wait until the deployment is ready and you're redirected to the Deployments page.
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