fix formatting

Author: msakande

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

@@ -16,7 +16,7 @@ ms.custom:
  - references_regions
 ---
 
-# Region availability for models in Serverless API endpoints | Azure AI Studio
+# Region availability for models in serverless API endpoints | Azure AI Studio
 
 [!INCLUDE [Feature preview](../includes/feature-preview.md)]
 

articles/ai-studio/how-to/deploy-models-timegen-1.md

@@ -33,13 +33,16 @@ You can deploy TimeGEN-1 as a serverless API with pay-as-you-go billing. Nixtla
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions don't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
 - An [AI Studio hub](../how-to/create-azure-ai-resource.md). The serverless API model deployment offering for TimeGEN-1 is only available with hubs created in these regions:
 
-    - East US
-    - East US 2
-    - North Central US
-    - South Central US
-    - West US
-    - West US 3
-    - Sweden Central
+    > [!div class="checklist"]
+    > * East US
+    > * East US 2
+    > * North Central US
+    > * South Central US
+    > * West US
+    > * West US 3
+    > * Sweden Central
+
+    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)
 
 - An [Azure AI Studio project](../how-to/create-projects.md).
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure AI Studio. To perform the steps in this article, your user account must be assigned the __Azure AI Developer role__ on the resource group. For more information on permissions, visit [Role-based access control in Azure AI Studio](../concepts/rbac-ai-studio.md).

articles/machine-learning/concept-endpoint-serverless-availability.md

@@ -17,7 +17,7 @@ ms.custom:
  - references_regions
 ---
 
-# Region availability for models in Serverless API endpoints | Azure Machine Learning
+# Region availability for models in serverless API endpoints | Azure Machine Learning
 
 In this article, you learn about which regions are available for each of the models supporting serverless API endpoint deployments.
 

articles/machine-learning/how-to-deploy-models-timegen-1.md

@@ -34,13 +34,16 @@ You can deploy TimeGEN-1 as a serverless API with pay-as-you-go billing. Nixtla
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions don't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
 - An Azure Machine Learning workspace. If you don't have a workspace, use the steps in the [Quickstart: Create workspace resources](quickstart-create-resources.md) article to create one. The serverless API model deployment offering for TimeGEN-1 is only available with workspaces created in these regions:
 
-    - East US
-    - East US 2
-    - North Central US
-    - South Central US
-    - West US
-    - West US 3
-    - Sweden Central
+    > [!div class="checklist"]
+    > * East US
+    > * East US 2
+    > * North Central US
+    > * South Central US
+    > * West US
+    > * West US 3
+    > * Sweden Central
+
+    For a list of  regions that are available for each of the models supporting serverless API endpoint deployments, see [Region availability for models in serverless API endpoints](concept-endpoint-serverless-availability.md)
 
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure Machine Learning. To perform the steps in this article, your user account must be assigned the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Manage access to an Azure Machine Learning workspace](how-to-assign-roles.md).