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articles/ai-services/openai/how-to/fine-tuning.md

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@@ -46,12 +46,12 @@ We use LoRA, or low rank approximation, to fine-tune models in a way that reduce
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## Global Standard
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Azure OpenAI fine-tuning supports [global standard deployments](./deployment-types.md#global-standard) in East US2, North Central US and Sweden Central for:
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Azure OpenAI fine-tuning supports [global standard deployments](./deployment-types.md#global-standard) in East US2, North Central US, and Sweden Central for:
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- `gpt-4o-2024-08-06`
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- `gpt-4o-mini-2024-07-18`
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Global standard fine-tuned deployments offer [cost savings](./https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/), but custom model weights may temporarily be stored outside the geography of your Azure OpenAI resource.
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Global standard fine-tuned deployments offer [cost savings](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/), but custom model weights may temporarily be stored outside the geography of your Azure OpenAI resource.
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:::image type="content" source="../media/fine-tuning/global-standard.png" alt-text="Screenshot of the global standard deployment user experience with a fine-tuned model." lightbox="../media/fine-tuning/global-standard.png":::
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