Merge pull request #2400 from MicrosoftDocs/main

1/21/2025 AM Publish

Author: Taojunshen

articles/ai-services/openai/how-to/stored-completions.md

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
 ms.custom: references_regions
-ms.date: 12/12/2024
+ms.date: 01/21/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -29,6 +29,8 @@ Stored completions allow you to capture the conversation history from chat compl
 ### Regional availability
 
 - Sweden Central
+- North Central US
+- East US2
 
 ## Configure stored completions
 

articles/ai-studio/ai-services/how-to/quickstart-github-models.md

@@ -46,7 +46,7 @@ To obtain the key and endpoint:
 
 1. Once you've signed in to your Azure account, you're taken to [Azure AI Foundry](https://ai.azure.com). 
 
-1. At the top of the page, select **Go to your GitHub AI resource** to go to Azure AI Foundry / Github](https://ai.azure.com/github). It might take one or two minutes to load your initial model details in Azure AI Foundry portal.
+1. At the top of the page, select **Go to your GitHub AI resource** to go to Azure AI Foundry / GitHub](https://ai.azure.com/github). It might take one or two minutes to load your initial model details in Azure AI Foundry portal.
 
 1. The page is loaded with your model's details. Select the **Create a Deployment** button to deploy the model to your account.
 

articles/machine-learning/how-to-manage-models.md

@@ -517,12 +517,6 @@ You can archive all versions or only specific versions of a model. If you don't
 
 # [Azure CLI](#tab/cli)
 
-Archive all versions of a model:
-
-```azurecli
-az ml model archive --name run-model-example
-```
-
 Archive a specific model version:
 
 ```azurecli
@@ -531,12 +525,6 @@ az ml model archive --name run-model-example --version 1
 
 # [Python SDK](#tab/python)
 
-Archive all versions of a model:
-
-```python
-ml_client.models.archive(name="run-model-example")
-```
-
 Archive a specific model version:
 
 ```python

articles/machine-learning/how-to-setup-authentication.md

@@ -8,7 +8,7 @@ ms.author: larryfr
 ms.reviewer: meyetman
 ms.service: azure-machine-learning
 ms.subservice: enterprise-readiness
-ms.date: 10/04/2024
+ms.date: 01/21/2025
 ms.topic: how-to
 ms.custom: has-adal-ref, subject-rbac-steps, cliv2, sdkv2
 # Customer intent: As a data scientist, I want to learn how to set up authentication for Azure Machine Learning resources and workflows so that I can access the resources I need.
@@ -56,7 +56,7 @@ Once you create the Microsoft Entra accounts, see [Manage access to Azure Machin
 
 [!INCLUDE [sdk v2](includes/machine-learning-sdk-v2.md)]
 
-Interactive authentication uses the [Azure Identity package for Python](/python/api/overview/azure/identity-readme). Most examples use `DefaultAzureCredential` to access your credentials. When a token is needed, it requests one using multiple identities (`EnvironmentCredential`, `ManagedIdentityCredential`, `SharedTokenCacheCredential`, `VisualStudioCodeCredential`, `AzureCliCredential`, `AzurePowerShellCredential`) in turn, stopping when one provides a token. For more information, see the [DefaultAzureCredential](/python/api/azure-identity/azure.identity.defaultazurecredential) class reference.
+Interactive authentication uses the [Azure Identity package for Python](/python/api/overview/azure/identity-readme). There are multiple ways to interactively authenticate, however most examples use `DefaultAzureCredential` since it handles most authentication scenarios. The `DefaultAzureCredential` class uses multiple approaches (`EnvironmentCredential`, `ManagedIdentityCredential`, `SharedTokenCacheCredential`, `VisualStudioCodeCredential`, `AzureCliCredential`, `AzurePowerShellCredential`) in turn, stopping when one provides a token. For more information, see the [DefaultAzureCredential](/python/api/azure-identity/azure.identity.defaultazurecredential) class reference.
 
 The following code is an example of using `DefaultAzureCredential` to authenticate. If authentication using `DefaultAzureCredential` fails, a fallback of authenticating through your web browser is used instead.