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.github/policies/disallow-edits.yml

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name: GitOps.PullRequestIssueManagement
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description: GitOps.PullRequestIssueManagement primitive
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resource: repository
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configuration:
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resourceManagementConfiguration:
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eventResponderTasks:
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- description: Close PRs that introduce an index file into the repository.
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if:
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- payloadType: Pull_Request
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- isAction:
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action: Opened
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- or:
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- filesMatchPattern:
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pattern: articles/index.yml
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then:
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- addReply:
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reply: >-
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@${issueAuthor} - You tried to add an index file to this repository; this is not permitted so your pull request will be closed automatically.
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- closePullRequest
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.openpublishing.redirection.json

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{
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"redirections": [
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{
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"source_path_from_root": "/articles/ai-services/openai/concepts/use-your-image-data.md",
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"redirect_url": "/azure/ai-services/openai/concepts/use-your-data",
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"redirect_document_id": true
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}
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]
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}

articles/ai-services/.openpublishing.redirection.ai-services.json

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"redirect_url": "/azure/ai-services/openai/concepts/fine-tuning-considerations",
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"redirect_document_id": true
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},
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{
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"source_path_from_root": "/articles/ai-services/openai/how-to/audio-real-time.md",
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"redirect_url": "/azure/ai-services/openai/realtime-audio-quickstart",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/ai-services/content-safety/concepts/incident-response.md",
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"redirect_url": "/azure/ai-services/content-safety/concepts/custom-categories-rapid",

articles/ai-services/cognitive-services-container-support.md

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| [Language service][ta-containers-sentiment] | **Sentiment Analysis** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/sentiment/about)) | Analyzes raw text for clues about positive or negative sentiment. This version of sentiment analysis returns sentiment labels (for example *positive* or *negative*) for each document and sentence within it. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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| [Language service][ta-containers-health] | **Text Analytics for health** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/healthcare/about))| Extract and label medical information from unstructured clinical text. | Generally available |
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| [Language service][ta-containers-ner] | **Named Entity Recognition** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/ner/about))| Extract named entities from text. | Generally available. <br>This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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| [Language service][ta-containers-pii] | **Personally Identifiable Information (PII) detection** ([image](https://mcr.microsoft.com/en-us/product/azure-cognitive-services/textanalytics/pii/tags))| Detect and redact personally identifiable information entities from text. | Generally available. <br>This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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| [Language service][ta-containers-cner] | **Custom Named Entity Recognition** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/customner/about))| Extract named entities from text, using a custom model you create using your data. | Generally available |
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| [Language service][ta-containers-summarization] | **Summarization** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/summarization/about))| Summarize text from various sources. | Public preview. <br>This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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| [Translator][tr-containers] | **Translator** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/translator/text-translation/about))| Translate text in several languages and dialects. | Generally available. Gated - [request access](https://aka.ms/csgate-translator). <br>This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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[ta-containers-cner]: language-service/custom-named-entity-recognition/how-to/use-containers.md
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[ta-containers-summarization]: language-service/summarization/how-to/use-containers.md
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[ta-containers-ner]: language-service/named-entity-recognition/how-to/use-containers.md
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[ta-containers-pii]: language-service/personally-identifiable-information//how-to/use-containers.md
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[tr-containers]: translator/containers/translator-how-to-install-container.md
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[request-access]: https://aka.ms/csgate

articles/ai-services/containers/azure-container-instance-recipe.md

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#Customer intent: As a potential customer, I want to know more about how Azure AI services provides and supports Docker containers for each service.
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---
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# Deploy and run container on Azure Container Instance
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# Deploy and run containers on Azure Container Instance
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With the following steps, scale Azure AI services applications in the cloud easily with Azure [Container Instances](/azure/container-instances/). Containerization helps you focus on building your applications instead of managing the infrastructure. For more information on using containers, see [features and benefits](../cognitive-services-container-support.md#features-and-benefits).
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articles/ai-services/containers/disconnected-containers.md

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* [Language Detection](../language-service/language-detection/how-to/use-containers.md)
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* [Summarization](../language-service/summarization/how-to/use-containers.md)
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* [Named Entity Recognition](../language-service/named-entity-recognition/how-to/use-containers.md)
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* [Personally Identifiable Information (PII) detection](../language-service/personally-identifiable-information/how-to/use-containers.md)
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* [Azure AI Vision - Read](../computer-vision/computer-vision-how-to-install-containers.md)
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* [Document Intelligence](../../ai-services/document-intelligence/containers/disconnected.md)
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* [Sentiment Analysis](../language-service/sentiment-opinion-mining/how-to/use-containers.md#run-the-container-disconnected-from-the-internet)
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* [Key Phrase Extraction](../language-service/key-phrase-extraction/how-to/use-containers.md#run-the-container-disconnected-from-the-internet)
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* [Language Detection](../language-service/language-detection/how-to/use-containers.md#run-the-container-disconnected-from-the-internet)
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* [Named Entity Recognition](../language-service/named-entity-recognition/how-to/use-containers.md#run-the-container-disconnected-from-the-internet)
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* [Personally Identifiable Information (PII) detection](../language-service/personally-identifiable-information/how-to/use-containers.md#run-the-container-disconnected-from-the-internet)
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## Environment variable names in Kubernetes deployments
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Some Azure AI Containers, for example Translator, require users to pass environmental variable names that include colons (`:`) when running the container. This will work fine when using Docker, but Kubernetes does not accept colons in environmental variable names.

articles/ai-services/content-safety/how-to/embedded-content-safety.md

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### SDK parameters that can impact performance
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Below SDK parameters can impact the inference time of the embedded content safety model.
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The following SDK parameters can impact the inference time of the embedded content safety model.
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- `gpuEnabled` Set as **true** to enable GPU, otherwise CPU is used. Generally inference time is shorter on GPU.
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- `numThreads` This parameter only works for CPU. It defines number of threads to be used in a multi-threaded environment. We support a maximum number of four threads.
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See next section to for the performance benchmark data on popular PC CPUs and GPUs
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See next section for performance benchmark data on popular PC CPUs and GPUs.
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### Performance benchmark data on popular CPUs and GPUs

articles/ai-services/document-intelligence/containers/install-run.md

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**This content applies to:** ![checkmark](../media/yes-icon.png) **v3.0 (GA)** ![checkmark](../media/yes-icon.png) **v3.1 (GA)**
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Azure AI Document Intelligence is an Azure AI service that lets you build automated data processing software using machine-learning technology. Document Intelligence enables you to identify and extract text, key/value pairs, selection marks, table data, and more from your documents. The results are delivered as structured data that ../includes the relationships in the original file.
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Azure AI Document Intelligence is an Azure AI service that lets you build automated data processing software using machine-learning technology. Document Intelligence enables you to identify and extract text, key/value pairs, selection marks, table data, and more from your documents. The results are delivered as structured data that ../includes the relationships in the original file. Containers process only the data provided to them and solely utilize the resources they are permitted to access. Containers cannot process data from other regions.
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In this article you can learn how to download, install, and run Document Intelligence containers. Containers enable you to run the Document Intelligence service in your own environment. Containers are great for specific security and data governance requirements.
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articles/ai-services/language-service/concepts/configure-containers.md

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* Text Analytics for Health
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* Summarization
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* Named Entity Recognition (NER)
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* Personally Identifiable (PII) detection
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## Configuration settings
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articles/ai-services/language-service/concepts/model-lifecycle.md

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| Entity Linking | `latest*` | |
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| Named Entity Recognition (NER) | `latest*` | `2023-04-15-preview**` |
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| Personally Identifiable Information (PII) detection | `latest*` | `2023-04-15-preview**` |
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| PII detection for conversations (Preview) | `latest*` | `2023-04-15-preview**` |
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| PII detection for conversations | `latest*` | `2023-04-15-preview**` |
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| Question answering | `latest*` | |
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| Text Analytics for health | `latest*` | `2022-08-15-preview`, `2023-01-01-preview**`|
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| Key phrase extraction | `latest*` | |
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| Summarization | `latest*` | |
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| Summarization | `latest*` | |
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\* Latest Generally Available (GA) model version

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