Acrolinx

v-dirichards · web-flow · commit be4bf33bac18 · 2025-05-19T12:09:22.000-05:00
diff --git a/articles/ai-foundry/concepts/ai-resources.md b/articles/ai-foundry/concepts/ai-resources.md
@@ -23,15 +23,15 @@ author: Blackmist
 
 Azure AI Hub is a resource type that is used in combination with Azure AI Foundry resource type, and is only required for selected use cases. Hub resources provides access to open-source model hosting and finetuning capabilities, as well as Azure Machine Learning capabilities, next to capabilities supported by its associated AI Foundry resource.
 
-When you create an AI Hub, an Azure AI Foundry resource is automatically provisioned. Hub resources can be used in [Azure AI Foundry](https://ai.azure.com) and [Azure ML Studio](https://ml.azure.com).
+When you create an AI Hub, an Azure AI Foundry resource is automatically provisioned. Hub resources can be used in [Azure AI Foundry](https://ai.azure.com) and [Azure Machine Learning Studio](https://ml.azure.com).
 
 Hubs have their own project types that support a differentiated feature set from Foundry projects. See [project types](../what-is-azure-ai-foundry.md#which-type-of-project-do-i-need) for an overview of supported features.
 
 ## Create an AI hub resource
 
 Get started by [creating your first hub in Azure AI Foundry portal](../how-to/create-azure-ai-resource.md), or use [Azure portal](../how-to/create-secure-ai-hub.md) or [templates](../how-to/create-azure-ai-hub-template.md) for advanced configuration options such as networking.
 
-Hubs group one or more projects together with common settings including data access and security configurations. Projects act as folders to organize work and give acess to developer APIs.
+Hubs group one or more projects together with common settings including data access and security configurations. Projects act as folders to organize work and give access to developer APIs.
 
 ## Create a hub-based project
 
@@ -60,7 +60,7 @@ Projects also have specific settings that only hold for that project:
 
 ## Share configurations across projects using hub
 
-A hub shares configurations for a group of projects. As a team lead, consider creating a hub for use cases that share the same security configurations or business domain to avoid repetive setup and let developers create their own project against the pre-configured environment.
+A hub shares configurations for a group of projects. As a team lead, consider creating a hub for use cases that share the same security configurations or business domain to avoid repetitive setup and let developers create their own project against the pre-configured environment.
 
 Shared configurations managed on the hub include:
 * **Security** including public network access, customer-managed key encryption, and identity controls. Security settings configured on the hub automatically pass down to each project. A managed virtual network is shared between all projects that share the same hub.
diff --git a/articles/ai-services/includes/quickstarts/management-azportal.md b/articles/ai-services/includes/quickstarts/management-azportal.md
@@ -19,7 +19,7 @@ author: eric-urban
 
 ## Create a new Azure AI Foundry resource
 
-AI Foundry portal provides a way to create a new Azure resource with basic,  defaulted, settings. If your organization requires customized Azure configurations like alternative names, security controls or cost tags, you may have to use Azure Portal or [template options](../../../ai-foundry/how-to/create-resource-template.md) to comply with your organization's Azure Policy compliance.
+AI Foundry portal provides a way to create a new Azure resource with basic,  defaulted, settings. If your organization requires customized Azure configurations like alternative names, security controls or cost tags, you may have to use Azure portal or [template options](../../../ai-foundry/how-to/create-resource-template.md) to comply with your organization's Azure Policy compliance.
 
 The Azure AI Foundry multi-service resource is listed under **AI Foundry** > **AI Foundry** in the portal. The API kind is **AIServices**. Look for the logo as shown here:
 
@@ -43,7 +43,7 @@ To create an AI Foundry resource follow these instructions:
     |Project details| Description   |
     |--|--|
     | **Subscription** | Select one of your available Azure subscriptions. |
-    | **Resource group** | The Azure resource group that will contain your Azure AI Foundry resource. You can create a new group or add it to a pre-existing group. |
+    | **Resource group** | The Azure resource group that will contain your Azure AI Foundry resource. You can create a new group or add it to a preexisting group. |
     | **Region** | The location of your Azure AI service instance. Different locations may introduce latency, but have no impact on the runtime availability of your resource. |
     | **Name** | A descriptive name for your Azure AI Foundry resource. For example, *MyAIServicesResource*. |
 
diff --git a/articles/ai-services/multi-service-resource.md b/articles/ai-services/multi-service-resource.md
@@ -42,7 +42,7 @@ Looking to use Azure AI Search skills? See classic [Azure AI multi-services reso
 
 ## Default project
 
-In AI Foundry, projects provide access to developer APIs, and act as folders to organize your work. A default project is created for you when you create your resource in Azure Portal or Azure AI Foundry Portal. The default project has a special notion - it provides backwards compatability with developer APIs that are supported on the parent resource level. Typically these are AI Services and Azure OpenAI services APIs for model customization. Newer APIs including Agents and Evaluations are accessible from any project. For more information, see [Types of projects](../ai-foundry/what-is-azure-ai-foundry.md#project-types).
+In AI Foundry, projects provide access to developer APIs, and act as folders to organize your work. A default project is created for you when you create your resource in Azure portal or Azure AI Foundry Portal. The default project has a special notion - it provides backwards compatibility with developer APIs that are supported on the parent resource level. Typically these are AI Services and Azure OpenAI services APIs for model customization. Newer APIs including Agents and Evaluations are accessible from any project. For more information, see [Types of projects](../ai-foundry/what-is-azure-ai-foundry.md#project-types).
 
 Your AI Foundry resource might or might not be associated with an AI Foundry project:
 - If your AI Foundry resources was created using Azure CLI, PowerShell, Bicep template, Terraform, or SDKs. In those cases, the AI Foundry resource by default isn't associated with a project. You can create a project later as a child resource.
@@ -55,7 +55,7 @@ Your AI Foundry resource might or might not be associated with an AI Foundry pro
 The AI Foundry resource enables access to the following Azure AI services with a single set of credentials. Some services are available via the AI Foundry resource and single-service resource.
 
 > [!TIP]
-> We recommend whenever possible to use the **AI Foundry** resource (where the API kind is `AIServices`) to access multiple Azure AI services with a single set of credentials. For services not available via the AI Foundry resource (such as Face and Custom Vision), you can altnernatively create a single-service resource.
+> We recommend whenever possible to use the **AI Foundry** resource (where the API kind is `AIServices`) to access multiple Azure AI services with a single set of credentials. For services not available via the AI Foundry resource (such as Face and Custom Vision), you can alternatively create a single-service resource.
 
 | Service | Description | Kind (via API) |
 | --- | --- | --- |
