edits

Author: Blackmist

articles/ai-studio/how-to/built-in-policy-model-deployment.md

@@ -6,7 +6,7 @@ author: Blackmist
 ms.author: larryfr
 ms.service: azure-ai-studio
 ms.topic: how-to #Don't change
-ms.date: 10/02/2024
+ms.date: 10/25/2024
 
 #customer intent: As an admin, I want control what Managed AI Services (MaaS) and Model-as-a-Platform (MaaP) AI models can be deployed by my developers.
 
@@ -25,19 +25,21 @@ Azure Policy provides built-in policy definitions that help you govern the deplo
 ## Enable the policy
 
 1. From the [Azure portal](https://portal.azure.com), select **Policy** from the left side of the page. You can also search for **Policy** in the search bar at the top of the page.
-1. From the left side of the Azure Policy Dashboard, select **Authoring**, **Definition**, and then search for "[Preview]: Azure Machine Learning Deployments should only use approved Registry Models" in the search bar within the page. You can also directly navigate to policy definition creation page by clicking [here](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F12e5dd16-d201-47ff-849b-8454061c293d).
-1. Click on **Assign** to assign the policy to the appropiate management group:
+1. From the left side of the Azure Policy Dashboard, select **Authoring**, **Definition**, and then search for "[Preview]: Azure Machine Learning Deployments should only use approved Registry Models" in the search bar within the page. You can also directly navigate to [policy definition creation page](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F12e5dd16-d201-47ff-849b-8454061c293d).
+1. Select on **Assign** to assign the policy to the management group:
 
     - **Scope**: Select the scope where you want to assign the policy. The scope can be a management group, subscription, or resource group.
-    - **Policy definition**: this section should be pre-filled by "**[Preview]: Azure Machine Learning Deployments should only use approved Registry Models**".
+    - **Policy definition**: this section should already have a value of "**[Preview]: Azure Machine Learning Deployments should only use approved Registry Models**".
     - **Assignment name**: Enter a unique name for the assignment.
 
     The rest of the fields can be left as their default values or you can customize as needed for your organization.
 
 1. Select **Next** at the bottom of the page or the **Parameters** tab at the top of the page.
-1. In the **Parameters** tab, un-check "Only show parameteres that needs input 0or review" to see all fields:
+1. In the **Parameters** tab, deselect **Only show parameters that needs input or review** to see all fields:
 
-    - **Effect**: ensure these is filed is set to [**Deny**](/azure/governance/policy/concepts/effect-deny). Note: [audits](/azure/governance/policy/concepts/effect-audit) option allows you to configure the policy to log information to your own compliance dashboard. 
+    - **Effect**: Set to [**Deny**](/azure/governance/policy/concepts/effect-deny).
+        > [!NOTE]
+        > Using the [audit](/azure/governance/policy/concepts/effect-audit) option allows you to configure the policy to log information to your own compliance dashboard.
     - **Allowed Models Publishers**: This field expects a list of **publisher's name** in quotation and separated by commas.
     - **Allowed Asset Ids**: This field expects a list of **model asset ids** in quotation and separated by commas.
 
@@ -46,7 +48,7 @@ Azure Policy provides built-in policy definitions that help you govern the deplo
         1. Go to the [Azure AI Studio model catalog](model-catalog-overview.md).
 
 
-        1. For each model you want to allow, select the model to view the details. In the model detail information, copy the **Model ID** value. For example, the value might look like `azureml://registries/azure-openai/models/gpt-35-turbo/versions/3` for GPT-3.5-Turbo model. The provide names are also "Collections" in model catalog. for instance, publisher for "Meta-Llama-3.1-70B-Instruct" model is Meta. 
+        1. For each model you want to allow, select the model to view the details. In the model detail information, copy the **Model ID** value. For example, the value might look like `azureml://registries/azure-openai/models/gpt-35-turbo/versions/3` for GPT-3.5-Turbo model. The provided names are also *Collections* in model catalog. For example, the publisher for "Meta-Llama-3.1-70B-Instruct" model is Meta. 
 
             > [!IMPORTANT]
             > The model ID value must be an exact match for the model. If the model ID is not an exact match, the model won't be allowed.

articles/ai-studio/how-to/custom-policy-model-deployment.md

@@ -6,7 +6,7 @@ author: Blackmist
 ms.author: larryfr
 ms.service: azure-ai-studio
 ms.topic: how-to #Don't change
-ms.date: 10/02/2024
+ms.date: 10/25/2024
 
 #customer intent: As an admin, I want control what Azure AI services and Azure OpenAI models can be deployed by my developers.