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fixing note formatting
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articles/ai-studio/how-to/fine-tune-serverless.md

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@@ -155,14 +155,14 @@ The supported file type is JSON Lines. Files are uploaded to the default datasto
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Once your model is fine-tuned, you can deploy it and use it in your own application, in the playground, or in prompt flow. For more information on how to use deployed models, see [How to use Mistral premium chat models](./deploy-models-mistral.md).
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## Supported Enterprise Scenarios for Finetuning
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## Supported enterprise scenarios for finetuning
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Several enterprise scenarios are supported for MaaS finetuning. The table below outlines the supported configurations for user storage networking and authentication to ensure smooth operation within enterprise scenarios:
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**Note:**
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- Data connections auth can be changed via AI Studio by clicking on the datastore connection which your dataset is stored in, and navigating to the "Access details" > "Authentication Method" setting.
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- Storage auth can be changed in Azure Storage > "Settings" > "Configurations" page > "Allow storage account key access"
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- Storage networking can be changed in Azure Storage > "Networking" page
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>[!Note]
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>- Data connections auth can be changed via AI Studio by clicking on the datastore connection which your dataset is stored in, and navigating to the **Access details** > **Authentication Method** setting.
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>- Storage auth can be changed in Azure Storage > **Settings** > **Configurations** page > **Allow storage account key access**.
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>- Storage networking can be changed in Azure Storage > **Networking** page.
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| **Storage Networking** | **Storage Auth** | **Data Connection Auth** | **Support** |
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| ------------------------------------------------------------ | ------------------------------ | --------------------------------- | ----------------------- |

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