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Copy file name to clipboardExpand all lines: articles/ai-services/openai/how-to/content-filters.md
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| Protected material - text | GA| On | Completion | Identifies and blocks known text content from being displayed in the model output (for example, song lyrics, recipes, and selected web content). |
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## Configure content filters via Azure OpenAI Studio
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## Configure content filters via Azure AI Studio
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The following steps show how to set up a customized content filtering configuration for your resource.
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1. Go to Azure OpenAI Studio and navigate to the Content Filters tab (in the bottom left navigation, as designated by the red box below).
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1. Go to Azure AI Studio and navigate to the Content Filters tab (in the bottom left navigation, as designated by the red box below).
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:::image type="content" source="../media/content-filters/studio.png" alt-text="Screenshot of the AI Studio UI with Content Filters highlighted." lightbox="../media/content-filters/studio.png":::
Copy file name to clipboardExpand all lines: articles/ai-services/openai/how-to/role-based-access-control.md
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@@ -50,8 +50,8 @@ If a user were granted role-based access to only this role for an Azure OpenAI r
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✅ View the resource in [Azure portal](https://portal.azure.com) <br>
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✅ View the resource endpoint under **Keys and Endpoint** <br>
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✅ Ability to view the resource and associated model deployments in Azure OpenAI Studio. <br>
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✅ Ability to view what models are available for deployment in Azure OpenAI Studio. <br>
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✅ Ability to view the resource and associated model deployments in Azure AI Studio. <br>
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✅ Ability to view what models are available for deployment in Azure AI Studio. <br>
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✅ Use the Chat, Completions, and DALL-E (preview) playground experiences to generate text and images with any models that have already been deployed to this Azure OpenAI resource. <br>
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✅ Make inference API calls with Microsoft Entra ID.
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✅ View resources in the assigned resource group in the [Azure portal](https://portal.azure.com). <br>
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✅ View the resource endpoint under **Keys and Endpoint** <br>
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✅ View/Copy/Regenerate keys under **Keys and Endpoint** <br>
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✅ Ability to view what models are available for deployment in Azure OpenAI Studio <br>
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✅ Ability to view what models are available for deployment in Azure AI Studio <br>
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✅ Use the Chat, Completions, and DALL-E (preview) playground experiences to generate text and images with any models that have already been deployed to this Azure OpenAI resource <br>
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✅ Create customized content filters <br>
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✅ Add a data source for the use your data feature <br>
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✅ Create new model deployments or edit existing model deployments (via API) <br>
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✅ Create custom fine-tuned models **[Added Fall 2023]**<br>
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✅ Upload datasets for fine-tuning **[Added Fall 2023]**<br>
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✅ Create new model deployments or edit existing model deployments (via Azure OpenAI Studio) **[Added Fall 2023]**
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✅ Create new model deployments or edit existing model deployments (via Azure AI Studio) **[Added Fall 2023]**
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A user with only this role assigned would be unable to:
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This role can be found in the Azure portal under **Subscriptions** > ***Access control (IAM)** > **Add role assignment** > search for **Cognitive Services Usages Reader**. The role must be applied at the subscription level, it does not exist at the resource level.
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If you don't wish to use this role, the subscription **Reader** role provides equivalent access, but it also grants read access beyond the scope of what is needed for viewing quota. Model deployment via the Azure OpenAI Studio is also partially dependent on the presence of this role.
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If you don't wish to use this role, the subscription **Reader** role provides equivalent access, but it also grants read access beyond the scope of what is needed for viewing quota. Model deployment via the Azure AI Studio is also partially dependent on the presence of this role.
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This role provides little value by itself and is instead typically assigned in combination with one or more of the previously described roles.
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#### Cognitive Services Usages Reader + Cognitive Services OpenAI User
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All the capabilities of Cognitive Services OpenAI User plus the ability to:
|View the resource endpoint under “Keys and Endpoint” |✅|✅|✅| ➖ |
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|View the resource and associated model deployments in Azure OpenAI Studio |✅|✅|✅| ➖ |
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|View what models are available for deployment in Azure OpenAI Studio|✅|✅|✅| ➖ |
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|View the resource and associated model deployments in Azure AI Studio |✅|✅|✅| ➖ |
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|View what models are available for deployment in Azure AI Studio|✅|✅|✅| ➖ |
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|Use the Chat, Completions, and DALL-E (preview) playground experiences with any models that have already been deployed to this Azure OpenAI resource.|✅|✅|✅| ➖ |
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|Create or edit model deployments|❌|✅|✅| ➖ |
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|Create or deploy custom fine-tuned models|❌|✅|✅| ➖ |
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|Make inference API calls with Microsoft Entra ID| ✅ | ✅ | ❌ | ➖ |
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## Common Issues
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### Unable to view Azure Cognitive Search option in Azure OpenAI Studio
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### Unable to view Azure Cognitive Search option in Azure AI Studio
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**Issue:**
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When selecting an existing Azure Cognitive Search resource the search indices don't load, and the loading wheel spins continuously. In Azure OpenAI Studio, go to **Playground Chat** > **Add your data (preview)** under Assistant setup. Selecting **Add a data source** opens a modal that allows you to add a data source through either Azure Cognitive Search or Blob Storage. Selecting the Azure Cognitive Search option and an existing Azure Cognitive Search resource should load the available Azure Cognitive Search indices to select from.
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When selecting an existing Azure Cognitive Search resource the search indices don't load, and the loading wheel spins continuously. In Azure AI Studio, go to **Playground Chat** > **Add your data (preview)** under Assistant setup. Selecting **Add a data source** opens a modal that allows you to add a data source through either Azure Cognitive Search or Blob Storage. Selecting the Azure Cognitive Search option and an existing Azure Cognitive Search resource should load the available Azure Cognitive Search indices to select from.
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**Root cause**
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- Use API keys for Azure Cognitive Search: If you only need to interact with the Azure Cognitive Search service, you can request the admin keys or query keys from the subscription owner. These keys allow you to make API calls directly to the search service without needing an Azure RBAC role. Keep in mind that using API keys will **bypass** the Azure RBAC access control, so use them cautiously and follow security best practices.
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### Unable to upload files in Azure OpenAI Studio for on your data
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### Unable to upload files in Azure AI Studio for on your data
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**Symptom:** Unable to access storage for the **on your data** feature using Azure OpenAI Studio.
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**Symptom:** Unable to access storage for the **on your data** feature using Azure AI Studio.
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**Root cause:**
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Insufficient subscription-level access for the user attempting to access the blob storage in Azure OpenAI Studio. The user may **not** have the necessary permissions to call the Azure Management API endpoint: ```https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Storage/storageAccounts/{accountName}/listAccountSas?api-version=2022-09-01```
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Insufficient subscription-level access for the user attempting to access the blob storage in Azure AI Studio. The user may **not** have the necessary permissions to call the Azure Management API endpoint: ```https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Storage/storageAccounts/{accountName}/listAccountSas?api-version=2022-09-01```
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Public access to the blob storage is disabled by the owner of the Azure subscription for security reasons.
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**Solution options**
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- Verify and update access rights: Ensure the user has the appropriate subscription-level access, including the necessary permissions for the API call (Microsoft.Storage/storageAccounts/listAccountSas/action). If required, request the subscription owner or administrator to grant the necessary access rights.
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- Request assistance from the owner or admin: If the solution above is not feasible, consider asking the subscription owner or administrator to upload the data files on your behalf. This approach can help import the data into Azure OpenAI Studio without **user** requiring subscription-level access or public access to the blob storage.
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- Request assistance from the owner or admin: If the solution above is not feasible, consider asking the subscription owner or administrator to upload the data files on your behalf. This approach can help import the data into Azure AI Studio without **user** requiring subscription-level access or public access to the blob storage.
Copy file name to clipboardExpand all lines: articles/ai-services/openai/how-to/working-with-models.md
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## Model updates
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Azure OpenAI now supports automatic updates for select model deployments. On models where automatic update support is available, a model version drop-down is visible in Azure OpenAI Studio under **Deployments** and **Edit**:
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Azure OpenAI now supports automatic updates for select model deployments. On models where automatic update support is available, a model version drop-down is visible in Azure AI Studio under **Deployments** and **Edit**:
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:::image type="content" source="../media/models/auto-update-new.png" alt-text="Screenshot of the deploy model UI of Azure OpenAI Studio." lightbox="../media/models/auto-update-new.png":::
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:::image type="content" source="../media/models/auto-update-new.png" alt-text="Screenshot of the deploy model UI of Azure AI Studio." lightbox="../media/models/auto-update-new.png":::
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You can learn more about Azure OpenAI model versions and how they work in the [Azure OpenAI model versions](../concepts/model-versions.md) article.
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## Viewing retirement dates
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For currently deployed models, from Azure OpenAI Studio select **Deployments**:
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For currently deployed models, from Azure AI Studio select **Deployments**:
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:::image type="content" source="../media/models/deployments-new.png" alt-text="Screenshot of the deployment UI of Azure OpenAI Studio." lightbox="../media/models/deployments-new.png":::
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:::image type="content" source="../media/models/deployments-new.png" alt-text="Screenshot of the deployment UI of Azure AI Studio." lightbox="../media/models/deployments-new.png":::
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## Model deployment upgrade configuration
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You can check what model upgrade options are set for previously deployed models in [Azure OpenAI Studio](https://oai.azure.com). Select **Deployments** > Under the deployment name column select one of the deployment names that are highlighted in blue.
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You can check what model upgrade options are set for previously deployed models in [Azure AI Studio](https://oai.azure.com). Select **Deployments** > Under the deployment name column select one of the deployment names that are highlighted in blue.
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Selecting a deployment name opens the **Properties** for the model deployment. You can view what upgrade options are set for your deployment under **Version update policy**:
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