Skip to content

Commit 6a577f4

Browse files
authored
Apply suggestions from PR review
Fix typo, add missing punctuation, fix grammar, fix punctuation, add missing words.
1 parent 81ced3a commit 6a577f4

File tree

4 files changed

+5
-5
lines changed

4 files changed

+5
-5
lines changed

articles/machine-learning/how-to-custom-dns.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -57,7 +57,7 @@ Another option is to modify the `hosts` file on the client that is connecting to
5757
Access to a given Azure Machine Learning workspace via Private Link is done by communicating with the following Fully Qualified Domains (called the workspace FQDNs) listed below:
5858

5959
> [!IMPORTANT]
60-
> If you are using a hub workspace (including Azure AI Foundry hub), then you will have addtional entries for each project workspace created from the hub.
60+
> If you are using a hub workspace (including Azure AI Foundry hub), then you will have additional entries for each project workspace created from the hub.
6161
6262
**Azure Public regions**:
6363
- ```<per-workspace globally-unique identifier>.workspace.<region the workspace was created in>.api.azureml.ms```

articles/machine-learning/how-to-manage-hub-workspace-portal.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -41,7 +41,7 @@ As your needs change or your automation requirements increase, you can manage wo
4141

4242
Use the following steps to create a hub from the Azure portal:
4343

44-
1. From the Azure portal, search for `Azure AI Foundry` and create a new resource by selecting **+ New Azure AI**
44+
1. From the Azure portal, search for `Azure AI Foundry` and create a new resource by selecting **+ New Azure AI**.
4545
1. Enter your AI hub name, subscription, resource group, and location details.
4646
1. For advanced settings, select **Next: Resources** to specify resources, networking, encryption, identity, and tags.
4747

@@ -50,7 +50,7 @@ Use the following steps to create a hub from the Azure portal:
5050
1. Select an existing **Azure AI services** resource or create a new one. New Azure AI services include multiple API endpoints for Speech, Content Safety and Azure OpenAI. You can also bring an existing Azure OpenAI resource. Optionally, choose an existing **Storage account**, **Key vault**, **Container Registry**, and **Application insights** to host artifacts generated when you use AI Foundry.
5151

5252
> [!TIP]
53-
> You can skip selecting Azure AI Services if you plan to only work in Azure Machine Learning studio. Azure AI Services is required for Azure AI Foundry, and provide access to pre-built AI models for use in prompt flow.
53+
> You can skip selecting Azure AI Services if you plan to only work in Azure Machine Learning studio. Azure AI Services is required for Azure AI Foundry, and provides access to pre-built AI models for use in prompt flow.
5454
5555
:::image type="content" source="~/reusable-content/ce-skilling/azure/media/ai-studio/resource-create-resources.png" alt-text="Screenshot of the Create an Azure AI hub with the option to set resource information." lightbox="~/reusable-content/ce-skilling/azure/media/ai-studio/resource-create-resources.png":::
5656

articles/machine-learning/prompt-flow/how-to-secure-prompt-flow.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -117,7 +117,7 @@ Workspace managed virtual network is the recommended way to support network isol
117117

118118
## Known limitations
119119

120-
- AI Foundry don't support bring your own virtual network, it only support workspace managed virtual network.
120+
- AI Foundry doesn't support bring your own virtual network, it only supports workspace managed virtual network.
121121
- Managed online endpoint with selected egress only supports workspace with managed virtual network. If you want to use your own virtual network, you might need one workspace for prompt flow authoring with your virtual network and another workspace for prompt flow deployment using managed online endpoint with workspace managed virtual network.
122122
123123
## Next steps

articles/machine-learning/prompt-flow/troubleshoot-guidance.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -271,7 +271,7 @@ If you encounter an error like "Access denied to list workspace secret", check w
271271

272272
### How do I use credential-less datastore in prompt flow?
273273

274-
To use credential-less storage in Azure AI Foundry portal. You need basically do following things:
274+
To use credential-less storage in Azure AI Foundry portal, you need to basically do the following things:
275275
- Change the data store auth type to None.
276276
- Grant project MSI and user blob/file data contributor permission on storage.
277277

0 commit comments

Comments
 (0)