Update fine-tune-serverless.md

Author: ssalgadodev

articles/ai-foundry/how-to/fine-tune-serverless.md

@@ -213,7 +213,7 @@ Here are some of the tasks you can do on the **Models** tab:
 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:
 
 >[!Note]  
->- 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.  
+>- Data connections auth can be changed via AI Foundry by clicking on the datastore connection which your dataset is stored in, and navigating to the **Access details** > **Authentication Method** setting.  
 >- Storage auth can be changed in Azure Storage > **Settings** > **Configurations** page > **Allow storage account key access**.  
 >- Storage networking can be changed in Azure Storage > **Networking** page.
 
@@ -228,7 +228,7 @@ Several enterprise scenarios are supported for MaaS finetuning. The table below
 | Public Network Access = Disabled                              | Account key disabled           | Entra-Based Auth (Credentialless) | Yes, UX and SDK. <br><br> *Note:* for UX data upload and submission to work, the workspace _needs to be accessed from within the Vnet_ that has appropriate access to the storage                |
 
 
-The scenarios above should work in a Managed Vnet workspace as well. See setup of Managed Vnet AI Studio hub here: [How to configure a managed network for Azure AI Foundry hubs](./configure-managed-network.md)
+The scenarios above should work in a Managed Vnet workspace as well. See setup of Managed Vnet AI Foundry hub here: [How to configure a managed network for Azure AI Foundry hubs](./configure-managed-network.md)
 
 Customer-Managed Keys (CMKs) is **not** a supported enterprise scenario with MaaS finetuning.