Merge pull request #188 from MicrosoftDocs/main

Publish to live, Monday 4 AM PST, 9/9

articles/ai-services/computer-vision/how-to/model-customization.md

@@ -18,6 +18,9 @@ Image Analysis 4.0 allows you to train a custom model using your own training im
 
 This guide shows you how to create and train a custom image classification model. The few differences between training an image classification model and object detection model are noted.
 
+> [!NOTE]
+> Model customization is available through the REST API and Vision Studio, but not through the client language SDKs.
+
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
@@ -331,7 +334,7 @@ If an evaluation set isn't provided when training the model, the reported perfor
 
 ![Screenshot of evaluation]( ../media/customization/training-result.png)
 
-## Test custom model in Vision Studio
+## Test the custom model in Vision Studio
 
 Once you've built a custom model, you can test by selecting the **Try it out** button on the model evaluation screen.
 
@@ -466,7 +469,7 @@ The API call returns an **ImageAnalysisResult** JSON object, which contains all
 
 ## Next steps
 
-In this guide, you created and trained a custom image classification model using Image Analysis. Next, learn more about the Analyze Image 4.0 API, so you can call your custom model from an application using REST or library SDKs.
+In this guide, you created and trained a custom image classification model using Image Analysis. Next, learn more about the Analyze Image 4.0 API, so you can call your custom model from an application using REST.
 
 * See the [Model customization concepts](../concept-model-customization.md) guide for a broad overview of this feature and a list of frequently asked questions.
 * [Call the Analyze Image API](./call-analyze-image-40.md). <!--Note the sections [Set model name when using a custom model](./call-analyze-image-40.md#set-model-name-when-using-a-custom-model) and [Get results using custom model](./call-analyze-image-40.md#get-results-using-custom-model).-->

articles/ai-services/content-safety/concepts/harm-categories.md

@@ -21,12 +21,12 @@ This guide describes all of the harm categories and ratings that Azure AI Conten
 
 Content Safety recognizes four distinct categories of objectionable content.
 
-| Category  | Description         |
-| --------- | ------------------- |
-| Hate and Fairness      | Hate and fairness-related harms refer to any content that attacks or uses discriminatory language with reference to a person or Identity group based on certain differentiating attributes of these groups. <br><br>This includes, but is not limited to:<ul><li>Race, ethnicity, nationality</li><li>Gender identity groups and expression</li><li>Sexual orientation</li><li>Religion</li><li>Personal appearance and body size</li><li>Disability status</li><li>Harassment and bullying</li></ul> |
-| Sexual  | Sexual describes language related to anatomical organs and genitals, romantic relationships and sexual acts, acts portrayed in erotic or affectionate terms, including those portrayed as an assault or a forced sexual violent act against one’s will. <br><br> This includes but is not limited to:<ul><li>Vulgar content</li><li>Prostitution</li><li>Nudity and Pornography</li><li>Abuse</li><li>Child exploitation, child abuse, child grooming</li></ul>   |
-| Violence  | Violence describes language related to physical actions intended to hurt, injure, damage, or kill someone or something; describes weapons, guns and related entities. <br><br>This includes, but isn't limited to:  <ul><li>Weapons</li><li>Bullying and intimidation</li><li>Terrorist and violent extremism</li><li>Stalking</li></ul>  |
-| Self-Harm  | Self-harm describes language related to physical actions intended to purposely hurt, injure, damage one’s body or kill oneself. <br><br> This includes, but isn't limited to: <ul><li>Eating Disorders</li><li>Bullying and intimidation</li></ul>  |
+| Category  | Description         |API term |
+| --------- | ------------------- | -- |
+| Hate and Fairness      | Hate and fairness-related harms refer to any content that attacks or uses discriminatory language with reference to a person or Identity group based on certain differentiating attributes of these groups. <br><br>This includes, but is not limited to:<ul><li>Race, ethnicity, nationality</li><li>Gender identity groups and expression</li><li>Sexual orientation</li><li>Religion</li><li>Personal appearance and body size</li><li>Disability status</li><li>Harassment and bullying</li></ul> | `Hate` |
+| Sexual  | Sexual describes language related to anatomical organs and genitals, romantic relationships and sexual acts, acts portrayed in erotic or affectionate terms, including those portrayed as an assault or a forced sexual violent act against one’s will. <br><br> This includes but is not limited to:<ul><li>Vulgar content</li><li>Prostitution</li><li>Nudity and Pornography</li><li>Abuse</li><li>Child exploitation, child abuse, child grooming</li></ul>   | `Sexual` |
+| Violence  | Violence describes language related to physical actions intended to hurt, injure, damage, or kill someone or something; describes weapons, guns and related entities. <br><br>This includes, but isn't limited to:  <ul><li>Weapons</li><li>Bullying and intimidation</li><li>Terrorist and violent extremism</li><li>Stalking</li></ul>  | `Violence` |
+| Self-Harm  | Self-harm describes language related to physical actions intended to purposely hurt, injure, damage one’s body or kill oneself. <br><br> This includes, but isn't limited to: <ul><li>Eating Disorders</li><li>Bullying and intimidation</li></ul>  | `SelfHarm` |
 
 Classification can be multi-labeled. For example, when a text sample goes through the text moderation model, it could be classified as both Sexual content and Violence.
 

articles/ai-services/disable-local-auth.md

@@ -13,13 +13,21 @@ ms.author: pafarley
 
 # Disable local authentication in Azure AI Services
 
-Azure AI Services provides Microsoft Entra authentication support for all resources. This gives organizations control to disable local authentication methods and enforce Microsoft Entra authentication. This feature provides you with seamless integration when you require centralized control and management of identities and resource credentials.
+Azure AI Services provides Microsoft Entra authentication support for all resources. This feature provides you with seamless integration when you require centralized control and management of identities and resource credentials. Organizations can disable local authentication methods and enforce Microsoft Entra authentication instead.
 
-You can disable local authentication using the Azure policy [Cognitive Services accounts should have local authentication methods disabled](https://ms.portal.azure.com/#view/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F71ef260a-8f18-47b7-abcb-62d0673d94dc). You can set it at the subscription level or resource group level to enforce the policy for a group of services.
+You can disable local authentication using the Azure policy [Cognitive Services accounts should have local authentication methods disabled](https://ms.portal.azure.com/#view/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F71ef260a-8f18-47b7-abcb-62d0673d94dc). Set it at the subscription level or resource group level to enforce the policy for a group of services.
 
 If you're creating an account using Bicep / ARM template, you can set the property `disableLocalAuth` to `true` to disable local authentication. For more information, see 
 [Microsoft.CognitiveServices accounts - Bicep, ARM template, & Terraform](/azure/templates/microsoft.cognitiveservices/accounts)
 
+You can also use PowerShell with the Azure CLI to disable local authentication for an individual resource. First sign in with the `Connect-AzAccount` command. Then use the `Set-AzCognitiveServicesAccount` cmdlet with the parameter `-DisableLocalAuth $true`, like the following example:
+
+```powershell
+Set-AzCognitiveServicesAccount -ResourceGroupName "my-resource-group" -Name "my-resource-name" -DisableLocalAuth $false
+```
+
+## Verify local authentication status
+
 Disabling local authentication doesn't take effect immediately. Allow a few minutes for the service to block future authentication requests.
 
 You can use PowerShell to determine whether the local authentication policy is currently enabled. First sign in with the `Connect-AzAccount` command. Then use the cmdlet **[Get-AzCognitiveServicesAccount](/powershell/module/az.cognitiveservices/get-azcognitiveservicesaccount)** to retrieve your resource, and check the property `DisableLocalAuth`. A value of `true` means local authentication is disabled.