Update deploy-models-serverless-connect.md

Author: ssalgadodev

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

@@ -17,8 +17,6 @@ ms.custom:
 
 # Consume serverless API endpoints from a different Azure AI Studio project or hub
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 In this article, you learn how to configure an existing serverless API endpoint in a different project or hub than the one that was used to create the deployment.
 
 [Certain models in the model catalog](deploy-models-serverless-availability.md) can be deployed as serverless APIs. This kind of deployment provides a way to consume models as an API without hosting them on your subscription, while keeping the enterprise security and compliance that organizations need. This deployment option doesn't require quota from your subscription.
@@ -235,4 +233,4 @@ Follow these steps to create a connection:
 ## Related content
 
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
-- [Azure AI FAQ article](../faq.yml)
+- [Azure AI FAQ article](../faq.yml)