Merge pull request #7368 from MicrosoftDocs/main

Auto Publish – main to live - 2025-09-30 11:00 UTC

Author: learn-build-service-prod[bot]

articles/ai-foundry/foundry-models/how-to/configure-project-connection.md

@@ -5,7 +5,7 @@ description: Learn how to configure a connection to use Azure AI Foundry Models
 ms.service: azure-ai-foundry
 ms.subservice: azure-ai-foundry-model-inference
 ms.topic: how-to
-ms.date: 05/19/2025
+ms.date: 09/19/2025
 ms.custom: ignite-2024, github-universe-2024
 author: ssalgadodev
 ms.author: ssalgado
@@ -31,4 +31,4 @@ reviewer: santiagxf
 
 ## Next steps
 
-* [Develop applications using Azure AI Foundry Models](../../model-inference/supported-languages.md)
+* [Develop applications using Azure AI Foundry Models](../../model-inference/supported-languages.md)

articles/ai-foundry/foundry-models/includes/configure-project-connection/portal.md

@@ -25,7 +25,7 @@ You can create a connection to an Azure AI services resource using the following
 
 2. In the lower left corner of the screen, select **Management center**.
 
-3. In the section **Connections** select **New connection**.
+3. In the section **Connected resources** select **New connection**.
 
 4. Select **Azure AI services**.
 

articles/ai-foundry/how-to/configure-managed-network.md

@@ -814,6 +814,8 @@ To use Hugging Face models with the hub, add outbound FQDN rules to allow traffi
 * `*.docker.com`
 * `production.cloudflare.docker.com`
 * `cdn.auth0.com`
+* `huggingface.co`
+* `cas-bridge.xethub.hf.co`
 * `cdn-lfs.huggingface.co`
 
 ### Scenario: Models sold directly by Azure

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

@@ -4,7 +4,7 @@ titleSuffix: Azure AI Foundry
 description: Deploy fine-tuned models using serverless API in Azure AI Foundry. Complete guide to fine-tune, train, and deploy custom large language models with cost-effective serverless options.
 ms.service: azure-ai-foundry
 ms.topic: how-to
-ms.date: 04/14/2025
+ms.date: 09/25/2025
 ms.reviewer: rasavage
 reviewer: RSavage2
 ms.author: ssalgado