acrolinx

Author: sdgilley

articles/ai-foundry/concepts/ai-resources.md

@@ -20,9 +20,9 @@ ms.custom:
 # Hub resources overview
 
 > [!NOTE]
-> You must use a **[!INCLUDE [hub](../includes/hub-project-name.md)]** for the features mentioned in this article. A **[!INCLUDE [fdp](../includes/fdp-project-name.md)]** is not supported. For more information, see [Project types](../what-is-azure-ai-foundry.md#which-type-of-project-do-i-need).
+> You must use a **[!INCLUDE [hub](../includes/hub-project-name.md)]** for the features mentioned in this article. A **[!INCLUDE [fdp](../includes/fdp-project-name.md)]** isn't supported. For more information, see [Project types](../what-is-azure-ai-foundry.md#which-type-of-project-do-i-need).
 
-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.
+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 provide access to open-source model hosting and fine-tuning 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/?cid=learnDocs) and [Azure Machine Learning studio](https://ml.azure.com).
 
@@ -74,7 +74,7 @@ Shared configurations managed on the hub include:
 
 Hubs let you manage connections to existing Azure OpenAI or Azure AI Foundry resources, so you can use their models and selected customization capabilities in hub-based projects. 
 
-After a connection is created, model deployments are accessible via playground experiences. When you use Finetuning experiences in a hub-based project, your finetuning jobs are implicitly executed on the connected AI Foundry resource (default project context).
+After a connection is created, model deployments are accessible via playground experiences. When you use Fine-tuning experiences in a hub-based project, your fine-tuning jobs are implicitly executed on the connected AI Foundry resource (default project context).
 
 ## Storage and Key Vault dependent resources