toc for reference and group models

Author: eric-urban

articles/ai-studio/.openpublishing.redirection.ai-studio.json

@@ -14,6 +14,11 @@
             "source_path_from_root": "/articles/ai-studio/quickstarts/playground-completions.md",
             "redirect_url": "/azure/ai-studio/quickstarts/assistants",
             "redirect_document_id": true
+        },
+        {
+            "source_path_from_root": "/articles/ai-studio/how-to/cli-install.md",
+            "redirect_url": "/azure/ai-studio/how-to/sdk-install",
+            "redirect_document_id": true
         }
     ]
 }

articles/ai-studio/how-to/cli-install.md

@@ -67,7 +67,7 @@ The following diagram shows a managed VNet configured to __allow only approved o
 
 # [Azure CLI](#tab/azure-cli)
 
-Not available in AI CLI, but you can use [Azure Machine Learning CLI](../../machine-learning/how-to-managed-network.md#configure-a-managed-virtual-network-to-allow-internet-outbound). Use your Azure AI hub name as workspace name in Azure Machine Learning CLI.
+You can use [Azure Machine Learning CLI](../../machine-learning/how-to-managed-network.md#configure-a-managed-virtual-network-to-allow-internet-outbound). Use your Azure AI hub name as the workspace name in Azure Machine Learning CLI.
 
 # [Python SDK](#tab/python)
 
@@ -115,7 +115,7 @@ Not available.
 
 # [Azure CLI](#tab/azure-cli)
 
-Not available in AI CLI, but you can use [Azure Machine Learning CLI](../../machine-learning/how-to-managed-network.md#configure-a-managed-virtual-network-to-allow-only-approved-outbound). Use your Azure AI hub name as workspace name in Azure Machine Learning CLI.
+You can use [Azure Machine Learning CLI](../../machine-learning/how-to-managed-network.md#configure-a-managed-virtual-network-to-allow-only-approved-outbound). Use your Azure AI hub name as the workspace name in Azure Machine Learning CLI.
 
 # [Python SDK](#tab/python)
 
@@ -181,7 +181,7 @@ Not available.
 
 # [Azure CLI](#tab/azure-cli)
 
-Not available in AI CLI, but you can use [Azure Machine Learning CLI](../../machine-learning/how-to-managed-network.md#manage-outbound-rules). Use your Azure AI hub name as workspace name in Azure Machine Learning CLI.
+You can use [Azure Machine Learning CLI](../../machine-learning/how-to-managed-network.md#manage-outbound-rules). Use your Azure AI hub name as workspace name in Azure Machine Learning CLI.
 
 # [Python SDK](#tab/python)
 

articles/ai-studio/how-to/configure-managed-network.md

@@ -43,13 +43,7 @@ Use one of the following methods to create an Azure AI hub resource with a priva
 
 # [Azure CLI](#tab/cli)
 
-Create your Azure AI hub resource with the Azure AI CLI. Run the following command and follow the prompts. For more information, see [Get started with Azure AI CLI](cli-install.md).
-
-```azurecli-interactive
-ai init
-```
-
-After creating the Azure AI, use the [Azure networking CLI commands](/cli/azure/network/private-endpoint#az-network-private-endpoint-create) to create a private link endpoint for the Azure AI.
+After creating the Azure AI studio hub, use the [Azure networking CLI commands](/cli/azure/network/private-endpoint#az-network-private-endpoint-create) to create a private link endpoint for the Azure AI.
 
 ```azurecli-interactive
 az network private-endpoint create \
@@ -222,7 +216,7 @@ To enable public access, use the following steps:
 
 # [Azure CLI](#tab/cli)
 
-Not available in AI CLI, but you can use [Azure Machine Learning CLI](../../machine-learning/how-to-configure-private-link.md#enable-public-access). Use your Azure AI name as workspace name in Azure Machine Learning CLI.
+You can use [Azure Machine Learning CLI](../../machine-learning/how-to-configure-private-link.md#enable-public-access). Use your Azure AI name as workspace name in Azure Machine Learning CLI.
 
 # [Azure portal](#tab/azure-portal)