Commit 1fca747
Jinyu Li
Merge branch 'main' of https://github.com/JinyuID/azure-ai-docs-pr
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- articles
- ai-foundry
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- includes
- media
- connected-agents
- monitoring
- quickstart
- tools
- ai-search
- bing
- deep-research
- licensed-data
- triggers
- reference
- ai-services
- breadcrumb
- concepts
- evaluation-evaluators
- foundry-agent
- foundry-local
- concepts
- how-to
- includes
- integrate-examples
- sdk-reference
- use-langchain
- reference
- foundry-models
- concepts
- how-to
- github
- includes
- configure-content-filters
- configure-entra-id
- configure-marketplace
- configure-project-connection
- create-model-deployments
- create-resources
- github
- use-chat-completions
- use-chat-multi-modal
- use-chat-reasoning
- use-embeddings
- use-image-embeddings
- use-structured-outputs
- media
- add-model-deployments
- configure-deployment-policies
- configure-entra-id
- configure-marketplace
- create-resources
- endpoint
- manage-cost
- models
- monitor-models
- overview
- quickstart-ai-project
- quickstart-get-started-deepseek-r1
- quickstart-github-models
- use-structured-outputs
- tutorials
- how-to
- develop
- healthcare-ai
- prompt-flow-tools
- includes
- ai-services
- media
- ask-foundry-agent
- azure-openai-in-ai-studio
- concepts/deployments-overview
- cost-management
- marketplace
- project-costs
- data-add
- deploy-models-managed-pay-go
- deploy-models-serverless
- evaluations/storage
- explore
- how-to
- get-started-projects-vs-code
- inference
- migrate-project
- planning
- quickstarts
- tutorials/develop-rag-copilot-sdk
- model-inference
- breadcrumb
- concepts
- how-to
- includes/use-chat-reasoning
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- endpoint
- models
- monitor-models
- quickstart-get-started-deepseek-r1
- openai
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- models
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- concepts
- context
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- includes
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- multi-agent
- quickstart
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- ai-search
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- breadcrumb
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- breadcrumb
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- includes/v3-0
- includes
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- includes
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- v21
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- immersive-reader
- includes/quickstarts
- includes
- quickstarts
- reference/sdk
- language-service
- breadcrumb
- concepts
- custom-features
- conversational-language-understanding
- concepts
- how-to
- includes
- language-studio
- quickstarts
- rest-api
- media
- configure-resources
- create-project
- custom-named-entity-recognition
- concepts
- how-to
- includes
- language-studio
- quickstarts
- rest-api
- custom-text-classification
- concepts
- how-to
- includes
- language-studio
- quickstarts
- rest-api
- tutorials
- custom
- entity-linking
- how-to
- includes
- quickstarts
- includes
- containers
- custom
- language-studio
- key-phrase-extraction
- how-to
- includes
- quickstarts
- tutorials
- language-detection
- how-to
- includes
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- media/overview
- named-entity-recognition
- concepts
- how-to
- includes
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- native-document-support
- orchestration-workflow
- concepts
- how-to
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- language-studio
- quickstarts
- rest-api
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- personally-identifiable-information
- concepts
- how-to
- includes
- quickstarts
- question-answering
- concepts
- how-to
- includes
- media/configure-resources
- reference
- tutorials
- sentiment-opinion-mining
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- custom
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- quickstarts
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- quickstarts
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- luis
- how-to
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- media/ai-foundry
- metrics-advisor
- breadcrumb
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- includes/quickstarts
- openai
- breadcrumb
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- context
- how-to
- includes
- model-matrix
- media/monitoring
- personalizer
- qnamaker
- breadcrumb
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- how-to
- includes
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- common
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- custom-avatar/create-avatar
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- create-training-set
- deploy-endpoint
- train-voice
- recognize-speech
- video-translation
- language-support
- quickstarts
- openai-speech
- speech-to-text-basics
- speech-translation-basics
- stt-diarization
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- voice-live-agents
- voice-live-api
- release-notes
- media
- video-translation/foundry-portal
- voice-live/foundry-portal
- quickstarts
- text-to-speech-avatar
- translator
- breadcrumb
- containers
- custom-translator/concepts
- document-translation
- how-to-guides
- quickstarts
- how-to
- solutions
- translator-pro
- text-translation/how-to
- machine-learning
- component-reference
- data-science-virtual-machine
- includes
- media/aml-ui-cleanup
- known-issues
- media
- how-to-authenticate-batch-endpoint
- how-to-azure-container-for-pytorch-environment
- how-to-deploy-models-serverless
- how-to-log-view-metrics
- how-to-use-foundation-models
- resource-known-issues
- prompt-flow
- tools-reference
- v1
- media
- how-to-deploy-model-designer
- how-to-deploy-pipelines
- how-to-designer-import-data
- how-to-run-batch-predictions-designer
- how-to-trigger-published-pipeline
- how-to-use-pipeline-parameter
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