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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": "articles/ai-studio/how-to/commitment-tier.md",
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"redirect_url": "/azure/ai-services/commitment-tier.md",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/storage/files/files-samples-dotnet-v11.md",
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"redirect_url": "/previous-versions/azure/storage/files/files-samples-dotnet-v11",

CODEOWNERS

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/articles/mysql @tynevi @thomps23
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/articles/managed-instance-apache-cassandra @tynevi @thomps23
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/articles/virtual-machines @jasonwhowell @thomps23
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/articles/virtual-machines-scale-set @jasonwhowell @thomps23
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/articles/virtual-machines-scale-sets @jasonwhowell @thomps23
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/articles/container-instances @jasonwhowell @thomps23
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/articles/service-fabric @jasonwhowell @thomps23

articles/ai-services/language-service/personally-identifiable-information/concepts/conversations-entity-categories.md

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Use this article to find the entity categories that can be returned by the [conversational PII detection feature](../how-to-call-for-conversations.md). This feature runs a predictive model to identify, categorize, and redact sensitive information from an input conversation.
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The PII preview feature includes the ability to detect personal (`PII`) information from conversations.
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## Entity categories
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The following entity categories are returned when you're sending API requests PII feature.

articles/ai-services/language-service/personally-identifiable-information/how-to-call-for-conversations.md

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### Language support
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Currently the conversational PII preview API only supports English language.
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See the [PII Language Support page](language-support.md) for more details. Currently the conversational PII GA model only supports the English language. The preview model and API support the [same list languages](../concepts/language-support.md) as the other Language services.
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### Region support
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Currently the conversational PII preview API supports all Azure regions supported by the Language service.
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The conversational PII API supports all Azure regions supported by the Language service.
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## Submitting data
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Use the following example if you have conversations transcribed using the Speech service's [speech to text](../../Speech-Service/speech-to-text.md) feature:
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```bash
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curl -i -X POST https://your-language-endpoint-here/language/analyze-conversations/jobs?api-version=2022-05-15-preview \
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curl -i -X POST https://your-language-endpoint-here/language/analyze-conversations/jobs?api-version=2024-05-01 \
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-H "Content-Type: application/json" \
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-H "Ocp-Apim-Subscription-Key: your-key-here" \
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-d \
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"taskName": "analyze 1",
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"kind": "ConversationalPIITask",
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"parameters": {
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"modelVersion": "2022-05-15-preview",
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"modelVersion": "2023-04-15-preview",
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"redactionSource": "text",
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"includeAudioRedaction": true,
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"piiCategories": [
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Use the following example if you have conversations that originated in text. For example, conversations through a text-based chat client.
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```bash
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curl -i -X POST https://your-language-endpoint-here/language/analyze-conversations/jobs?api-version=2022-05-15-preview \
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curl -i -X POST https://your-language-endpoint-here/language/analyze-conversations/jobs?api-version=2024-05-01 \
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-H "Content-Type: application/json" \
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-H "Ocp-Apim-Subscription-Key: your-key-here" \
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-d \
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"taskName": "analyze 1",
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"kind": "ConversationalPIITask",
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"parameters": {
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"modelVersion": "2022-05-15-preview"
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"modelVersion": "2023-04-15-preview"
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}
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}
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]

articles/ai-services/language-service/personally-identifiable-information/language-support.md

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|Chinese-Simplified |`zh-hans` |`zh` also accepted|
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|Chinese-Traditional |`zh-hant` | |
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# [PII for conversations (preview)](#tab/conversations)
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# [PII for conversations](#tab/conversations)
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## PII language support
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articles/ai-studio/concepts/architecture.md

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- **AI Studio hub**: The hub is the top-level resource in AI Studio. The Azure resource provider for a hub is `Microsoft.MachineLearningServices/workspaces`, and the kind of resource is `Hub`. It provides the following features:
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- Security configuration including a managed network that spans projects and model endpoints.
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- Compute resources for interactive development, finetuning, open source, and serverless model deployments.
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- Compute resources for interactive development, fine-tuning, open source, and serverless model deployments.
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- Connections to other Azure services such as Azure OpenAI, Azure AI services, and Azure AI Search. Hub-scoped connections are shared with projects created from the hub.
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- Project management. A hub can have multiple child projects.
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- An associated Azure storage account for data upload and artifact storage.
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For more information on price and quota, use the following articles:
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- [Plan and manage costs](../how-to/costs-plan-manage.md)
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- [Commitment tier pricing](../how-to/commitment-tier.md)
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- [Quota management](../how-to/quota.md)
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## Next steps

articles/ai-studio/how-to/commitment-tier.md

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articles/ai-studio/toc.yml

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href: how-to/quota.md
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- name: Increase rate limit
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href: how-to/autoscale.md
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- name: Use commitment tier pricing
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href: how-to/commitment-tier.md
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- name: Infrastructure & security
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- name: Identity & access management

articles/api-management/TOC.yml

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href: grpc-api.md
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- name: Azure OpenAI and LLM APIs
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items:
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- name: GenAI gateway capabilities in API Management
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href: genai-gateway-capabilities.md
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- name: Import Azure OpenAI API
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href: azure-openai-api-from-specification.md
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- name: Authenticate and authorize to Azure OpenAI

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