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name: "📄 Azure Kubernetes Services - Feedback control template"
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title: "Feedback"
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description: >-
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🛈 FYI - This issue template is intended for use by the feedback control on the bottom of Azure Kubernetes Services pages on the
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https://learn.microsoft.com/azure/aks site.
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labels:
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- "azure-kubernetes-services/svc"
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body:
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- type: markdown
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attributes:
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value: "## Enter your feedback"
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- type: markdown
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attributes:
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value: Select the issue type, and describe the issue in the text box below. Add as much detail as needed to help us resolve the issue.
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- type: dropdown
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id: issue-type
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attributes:
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label: Type of issue
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options:
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- Typo
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- Code doesn't work
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- Missing information
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- Outdated article
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- Other (describe below)
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validations:
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required: true
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- type: textarea
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id: userfeedback
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validations:
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required: true
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attributes:
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label: Feedback
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description: >-
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If possible, please provide extended details that will add context and help the team update
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the documentation. Additional details may not be useful for typos, grammar, formatting, etc.
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For technical or factual errors, please include code snippets and output to show how the
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documentation is incorrect.
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- type: markdown
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attributes:
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value: "## 🚧 Article information 🚧"
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- type: markdown
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attributes:
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value: "*Don't modify the following fields*. They are automatically filled in for you. Doing so will disconnect your issue from the affected article. *Don't edit them*."
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- type: input
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id: pageUrl
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validations:
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required: true
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attributes:
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label: Page URL
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- type: input
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id: contentSourceUrl
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validations:
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required: true
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attributes:
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label: Content source URL
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- type: input
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id: author
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validations:
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required: true
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attributes:
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label: Author
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description: GitHub Id of the author
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- type: input
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id: documentVersionIndependentId
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validations:
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required: true
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attributes:
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label: Document Id

.openpublishing.redirection.virtual-desktop.json

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"source_path_from_root": "/articles/virtual-desktop/fslogix-containers-azure-files.md",
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"redirect_url": "/azure/virtual-desktop/fslogix-profile-containers",
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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/virtual-desktop/host-pool-load-balancing.md",
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"redirect_url": "/azure/virtual-desktop/configure-host-pool-load-balancing",
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"redirect_document_id": false
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}
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]
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}

articles/ai-services/openai/concepts/legacy-models.md

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description: Learn about the deprecated models in Azure OpenAI.
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ms.service: azure-ai-openai
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ms.topic: conceptual
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ms.date: 02/26/2024
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ms.date: 06/14/2024
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ms.custom: references_regions, build-2023, build-2023-dataai
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manager: nitinme
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author: mrbullwinkle
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# Azure OpenAI Service deprecated models
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Azure OpenAI Service offers a variety of models for different use cases. The following models were deprecated on July 6, 2023 and will be retired on July 5, 2024. These models are no longer available for new deployments. Deployments created prior to July 6, 2023 remain available to customers until July 5, 2024. We recommend customers migrate their applications to deployments of replacement models prior to the July 5, 2024 retirement.
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Azure OpenAI Service offers a variety of models for different use cases. The following models were deprecated on July 6, 2023 and will be retired on June 14, 2024. These models are no longer available for new deployments. Deployments created prior to July 6, 2023 remain available to customers until June 14, 2024. We recommend customers migrate their applications to deployments of replacement models prior to the June 14, 2024 retirement.
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At the time of retirement, deployments of these models will stop returning valid API responses.
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## Embedding models
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The embedding models below will be retired effective July 5, 2024. Customers should migrate to `text-embedding-ada-002` (version 2).
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The embedding models below will be retired effective June 14, 2024. Customers should migrate to `text-embedding-ada-002` (version 2).
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- [Similarity](#similarity-embedding)
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- [Text search](#text-search-embedding)

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