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articles/ai-services/openai/includes/fine-tuning-python.md

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@@ -379,7 +379,7 @@ This command isn't available in the 0.28.1 OpenAI Python library. Upgrade to the
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[!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]
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## Deploy a customized model
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## Deploy a fine-tuned model
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When the fine-tuning job succeeds, the value of the `fine_tuned_model` variable in the response body is set to the name of your customized model. Your model is now also available for discovery from the [list Models API](/rest/api/azureopenai/models/list). However, you can't issue completion calls to your customized model until your customized model is deployed. You must deploy your customized model to make it available for use with completion calls.
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> [!NOTE]
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> Only one deployment is permitted for a customized model. An error occurs if you select an already-deployed customized model.
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## Deploy fine-tuned model
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Unlike the previous SDK commands, deployment must be done using the control plane API which requires separate authorization, a different API path, and a different API version.
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|variable | Definition|

articles/ai-services/openai/includes/fine-tuning-rest.md

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[!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]
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## Deploy a customized model
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## Deploy a fine-tuned model
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[!INCLUDE [Fine-tuning deletion](fine-tune.md)]
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articles/ai-services/openai/includes/fine-tuning-studio.md

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[!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]
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## Deploy a custom model
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## Deploy a fine-tuned model
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When the fine-tuning job succeeds, you can deploy the custom model from the **Models** pane. You must deploy your custom model to make it available for use with completion calls.
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