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articles/ai-services/document-intelligence/concept-layout.md

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The following illustration shows the typical components in an image of a sample page.
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:::image type="content" source="media/document-layout-example.png" alt-text="Illustration of document layout example.":::
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:::image type="content" source="media/document-layout-example-new.png" alt-text="Illustration of document layout example.":::
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## Development options
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articles/ai-services/document-intelligence/studio-overview.md

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[!INCLUDE [applies to v4.0 v3.1 v3.0](includes/applies-to-v40-v31-v30.md)]
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Document Intelligence Studio is an online tool to visually explore, understand, train, and integrate features from the Document Intelligence service into your applications. The studio provides a platform for you to experiment with the different Document Intelligence models and sample returned data in an interactive manner without the need to write code.
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[Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/) is an online tool for visually exploring, understanding, and integrating features from the Document Intelligence service into your applications. Use the Document Intelligence Studio to:
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[Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/) is an online tool to visually explore, understand, train, and integrate features from the Document Intelligence service into your applications. The studio provides a platform for you to experiment with the different Document Intelligence models and sample returned data in an interactive manner without the need to write code. Use the Document Intelligence Studio to:
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* Learn more about the different capabilities in Document Intelligence.
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* Use your Document Intelligence resource to test models on sample documents or upload your own documents.
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* Experiment with different add-on and preview features to adapt the output to your needs.

articles/ai-services/speech-service/how-to-get-speech-session-id.md

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> [!WARNING]
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> The value of the parameter `X-ConnectionId` should be in the format of GUID without dashes or other dividers. All other formats aren't supported and will be discarded by the Service.
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>
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> Example. If the request contains `X-ConnectionId=9f4ffa51-13a8-46eb-a289-aa98b28e766f` (GUID with dividers) or `X-ConnectionId=Request9f4ffa5113a846eba289aa98b28e766f` (non-GUID) then the value of `X-ConnectionId` will not be accepted by the system, and the Session won't be found in the logs.
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> Example. If the request contains expressions like these:
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>
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> - `X-ConnectionId=9f4ffa51-13a8-46eb-a289-aa98b28e766f` (GUID with dividers)
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> - `X-ConnectionId=Request9f4ffa5113a846eba289aa98b28e766f` (non-GUID)
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> - `X-ConnectionId=5948f700d2a811ee` (non-GUID)
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>
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>then the value of `X-ConnectionId` will not be accepted by the system, and the Session won't be found in the logs.
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## Getting Transcription ID for Batch transcription
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articles/aks/ai-toolchain-operator.md

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-o tsv)
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export PRINCIPAL_ID=$(az identity show --name "ai-toolchain-operator-${CLUSTER_NAME}" \
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--resource-group "${MC_RESOURCE_GROUP}" \
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--query 'principalId'
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--query 'principalId' \
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export KAITO_IDENTITY_NAME="ai-toolchain-operator-${CLUSTER_NAME}"
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```

articles/aks/cluster-autoscaler.md

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| `scale-down-utilization-threshold` | Node utilization level, defined as sum of requested resources divided by capacity, in which a node can be considered for scale down. | 0.5 |
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| `max-graceful-termination-sec` | Maximum number of seconds the cluster autoscaler waits for pod termination when trying to scale down a node. | 600 seconds |
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| `balance-similar-node-groups` | Detects similar node pools and balances the number of nodes between them. | `false` |
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| `expander` | Type of node pool [expander](https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/FAQ.md#what-are-expanders) uses in scale up. Possible values include `most-pods`, `random`, `least-waste`, and `priority`. | |
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| `skip-nodes-with-local-storage` | If `true`, cluster autoscaler doesn't delete nodes with pods with local storage, for example, EmptyDir or HostPath. | `true` |
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| `expander` | Type of node pool [expander](https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/FAQ.md#what-are-expanders) uses in scale up. Possible values include `most-pods`, `random`, `least-waste`, and `priority`. | `random` |
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| `skip-nodes-with-local-storage` | If `true`, cluster autoscaler doesn't delete nodes with pods with local storage, for example, EmptyDir or HostPath. | `false` |
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| `skip-nodes-with-system-pods` | If `true`, cluster autoscaler doesn't delete nodes with pods from kube-system (except for DaemonSet or mirror pods). | `true` |
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| `max-empty-bulk-delete` | Maximum number of empty nodes that can be deleted at the same time. | 10 nodes |
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| `new-pod-scale-up-delay` | For scenarios such as burst/batch scale where you don't want CA to act before the Kubernetes scheduler could schedule all the pods, you can tell CA to ignore unscheduled pods before they reach a certain age. | 0 seconds |

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