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Merge pull request #5616 from mrbullwinkle/mrb_06_19_2025_fix
[Azure OpenAI] Small section reshuffle
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articles/ai-services/openai/concepts/model-retirements.md

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@@ -35,16 +35,11 @@ Azure OpenAI notifies customers of active Azure OpenAI deployments for models wi
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Retirements are done on a rolling basis, region by region. There is no schedule for when a specific region, or SKU will be upgraded.
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## Current models
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> [!NOTE]
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> Not all models go through a deprecation period prior to retirement. Some models/versions only have a retirement date.
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>
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> **Fine-tuned models** are subject to a [different](#fine-tuned-models) deprecation and retirement schedule from their equivalent base model.
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These models are currently available for use in Azure OpenAI.
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### Who is notified of upcoming retirements
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[!INCLUDE [Model retirement table](../includes/retirement/models.md)]
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Azure OpenAI notifies customers via two methods:
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- **Azure Resource Health** - Anyone with reader permissions or above can see Azure health alerts, as well as configure personalized alerts via email, SMS, etc. See [Create Service Health Alerts](/azure/service-health/alerts-activity-log-service-notifications-portal)
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- **Email** - email notifications are automatically sent to subscription owners. Any individual with reader permissions may however configure their own alerts by following the guidance above.
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## Model availability
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1. For example if `gpt-35-turbo 0125` or `gpt-4o (2024-05-13)` is updated to a future version, or
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2. for model family changes beyond version updates, such as when moving from `gpt-4 1106-preview` to `gpt-4o (2024-05-13)`.
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### Who is notified of upcoming retirements
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Azure OpenAI notifies customers via two methods:
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- **Azure Resource Health** - Anyone with reader permissions or above can see Azure health alerts, as well as configure personalized alerts via email, SMS, etc. See [Create Service Health Alerts](/azure/service-health/alerts-activity-log-service-notifications-portal)
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- **Email** - email notifications are automatically sent to subscription owners. Any individual with reader permissions may however configure their own alerts by following the guidance above.
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## How to get ready for model retirements and version upgrades
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To prepare for model retirements and version upgrades, we recommend that customers test their applications with the new models and versions and evaluate their behavior. We also recommend that customers update their applications to use the new models and versions before the retirement date.
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For more information on how to manage model upgrades and migrations for provisioned deployments, see [Managing models on provisioned deployment types](../how-to/working-with-models.md#managing-models-on-provisioned-deployment-types)
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## Current models
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> [!NOTE]
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> Not all models go through a deprecation period prior to retirement. Some models/versions only have a retirement date.
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>
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> **Fine-tuned models** are subject to a [different](#fine-tuned-models) deprecation and retirement schedule from their equivalent base model.
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These models are currently available for use in Azure OpenAI.
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[!INCLUDE [Model retirement table](../includes/retirement/models.md)]
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## Retirement and deprecation history
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To track individual updates to this article refer to the [Git History](https://github.com/MicrosoftDocs/azure-ai-docs/commits/main/articles/ai-services/openai/includes/retirement/models.md)

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