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articles/ai-services/cognitive-services-virtual-networks.md

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ms.service: azure-ai-services
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ms.custom: devx-track-azurepowershell, devx-track-azurecli
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ms.topic: how-to
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ms.date: 02/13/2024
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ms.date: 03/25/2024
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ms.author: aahi
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---
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'
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```
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To revoke the exception, set `networkAcls.bypass` to `None`.
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> [!NOTE]
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> The trusted service feature is only available using the command line described above, and cannot be done using the Azure portal.
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To revoke the exception, set `networkAcls.bypass` to `None`.
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To verify if the trusted service has been enabled from the Azure portal,
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1. Use the **JSON View** from the Azure OpenAI resource overview page
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:::image type="content" source="media/vnet/azure-portal-json-view.png" alt-text="A screenshot showing the JSON view option for resources in the Azure portal." lightbox="media/vnet/azure-portal-json-view.png":::
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1. Choose your latest API version under **API versions**. Only the latest API version is supported, `2023-10-01-preview` .
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:::image type="content" source="media/vnet/virtual-network-trusted-service.png" alt-text="A screenshot showing the trusted service is enabled." lightbox="media/vnet/virtual-network-trusted-service.png":::
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### Pricing
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For pricing details, see [Azure Private Link pricing](https://azure.microsoft.com/pricing/details/private-link).

articles/ai-services/document-intelligence/language-support-prebuilt.md

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:::moniker range="doc-intel-4.0.0"
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> [!IMPORTANT]
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> Starting with Document Intelligence **v4.0 (preview)**, and going forward, the business card model (prebuilt-businessCard) is deprecated. To extract data from business cards, use the following:
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> Starting with Document Intelligence **v4.0 (preview)**, and going forward, the business card model (prebuilt-businessCard) is deprecated. To extract data from business cards, use earlier models.
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| Feature | version| Model ID |
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|---------- |---------|--------|
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articles/ai-services/openai/how-to/monitoring.md

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| `Generated Completion Tokens` | Usage | Sum | Number of generated tokens (output) from an OpenAI model. Applies to PayGo, PTU, and PTU-manged SKUs | `ApiName`, `ModelDeploymentName`,`ModelName`, `Region`|
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| `Processed FineTuned Training Hours` | Usage |Sum| Number of Training Hours Processed on an OpenAI FineTuned Model | `ApiName`, `ModelDeploymentName`,`ModelName`, `Region`|
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| `Processed Inference Tokens` | Usage | Sum| Number of inference tokens processed by an OpenAI model. Calculated as prompt tokens (input) + generated tokens. Applies to PayGo, PTU, and PTU-manged SKUs.|`ApiName`, `ModelDeploymentName`,`ModelName`, `Region`|
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| `Processed Input Tokens` | Usage | Sum | Total number of prompt tokens (input) processed on an OpenAI model. Applies to PayGo, PTU, and PTU-managed SKUs.|`ApiName`, `ModelDeploymentName`,`ModelName`, `Region`|
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| `Processed Prompt Tokens` | Usage | Sum | Total number of prompt tokens (input) processed on an OpenAI model. Applies to PayGo, PTU, and PTU-managed SKUs.|`ApiName`, `ModelDeploymentName`,`ModelName`, `Region`|
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| `Provision-managed Utilization` | Usage | Average | Provision-managed utilization is the utilization percentage for a given provisioned-managed deployment. Calculated as (PTUs consumed/PTUs deployed)*100. When utilization is at or above 100%, calls are throttled and return a 429 error code. | `ModelDeploymentName`,`ModelName`,`ModelVersion`, `Region`, `StreamType`|
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## Configure diagnostic settings

articles/ai-services/openai/how-to/use-your-data-securely.md

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## Resources configuration
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Use the following sections to configure your resources for optimal secure usage. Even if you plan to only secure part of your resources, you still need to follow all the steps below.
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Use the following sections to configure your resources for optimal secure usage. Even if you plan to only secure part of your resources, you still need to follow all the steps below.
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This article describes network settings related to disabling public network for Azure OpenAI resources, Azure AI search resources, and storage accounts. Using selected networks with IP rules is not supported, because the services' IP addresses are dynamic.
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## Create resource group
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### Inference API
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See the [inference API reference article](/azure/ai-services/openai/reference#completions-extensions) for details on the request and response objects used by the inference API.
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More notes:
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* **Do not** set `dataSources[0].parameters.key`. The service uses system assigned managed identity to authenticate the Azure AI Search.
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* **Do not** set `embeddingEndpoint` or `embeddingKey`. Instead, to enable vector search (with `queryType` set properly), use `embeddingDeploymentName`.
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Example:
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```bash
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accessToken=$(az account get-access-token --resource https://cognitiveservices.azure.com/ --query "accessToken" --output tsv)
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curl -i -X POST https://my-resource.openai.azure.com/openai/deployments/turbo/extensions/chat/completions?api-version=2023-10-01-preview \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer $accessToken" \
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-d \
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'
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"dataSources": [
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{
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"type": "AzureCognitiveSearch",
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"parameters": {
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"endpoint": "https://my-search-service.search.windows.net",
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"indexName": "my-index",
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"queryType": "vector",
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"embeddingDeploymentName": "ada"
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}
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}
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],
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"messages": [
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}
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]
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}
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```
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See the [inference API reference article](../references/on-your-data.md) for details on the request and response objects used by the inference API.

articles/aks/artifact-streaming.md

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ms.subservice: aks-nodes
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# Reduce image pull time with Artifact Streaming on Azure Kubernetes Service (AKS) (Preview)

articles/aks/automated-deployments.md

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articles/aks/create-node-pools.md

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# Create node pools for a cluster in Azure Kubernetes Service (AKS)

articles/aks/custom-node-configuration.md

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# Customize node configuration for Azure Kubernetes Service (AKS) node pools

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