Merge pull request #1733 from sdgilley/sdg-rebrand-add-azure

add Azure to links

Author: prmerger-automator[bot]

articles/ai-studio/ai-services/how-to/content-safety.md

@@ -26,7 +26,7 @@ Azure AI Foundry includes a Content Safety **try it out** page that lets you use
 
 Follow these steps to use the Content Safety **try it out** page: 
 
-1. Go to [AI Foundry](https://ai.azure.com/) and navigate to your project/hub. Then select the **Safety+ Security** tab on the left nav and select the **Try it out** tab.
+1. Go to [Azure AI Foundry](https://ai.azure.com/) and navigate to your project/hub. Then select the **Safety+ Security** tab on the left nav and select the **Try it out** tab.
 1. On the **Try it out** page, you can experiment with various content safety features such as text and image content, using adjustable thresholds to filter for inappropriate or harmful content.
 
 :::image type="content" source="../../media/content-safety/try-it-out.png" alt-text="Screenshot of the try it out page for content safety.":::

articles/ai-studio/concepts/content-filtering.md

@@ -111,7 +111,7 @@ The filter creation process gives you the option to apply the filter to the depl
 
 Follow these steps to apply a content filter to a deployment:
 
-1. Go to [AI Foundry](https://ai.azure.com) and select a hub and project.
+1. Go to [Azure AI Foundry](https://ai.azure.com) and select a hub and project.
 1. Select **Models + endpoints** on the left pane and choose one of your deployments, then select **Edit**.
 
     :::image type="content" source="../media/content-safety/content-filter/deployment-edit.png" alt-text="Screenshot of the button to edit a deployment." lightbox="../media/content-safety/content-filter/deployment-edit.png":::

articles/ai-studio/concepts/rbac-ai-studio.md

@@ -229,7 +229,7 @@ For example, if you're trying to consume a new Blob storage, you need to ensure
 
 ## Manage access with roles 
 
-If you're an owner of a hub, you can add and remove roles for AI Foundry. Go to the **Home** page in [AI Foundry](https://ai.azure.com) and select your hub. Then select **Users** to add and remove users for the hub. You can also manage permissions from the Azure portal under **Access Control (IAM)** or through the Azure CLI. For example, use the [Azure CLI](/cli/azure/) to assign the Azure AI Developer role to "[email protected]" for resource group "this-rg" with the following command: 
+If you're an owner of a hub, you can add and remove roles for AI Foundry. Go to the **Home** page in [Azure AI Foundry](https://ai.azure.com) and select your hub. Then select **Users** to add and remove users for the hub. You can also manage permissions from the Azure portal under **Access Control (IAM)** or through the Azure CLI. For example, use the [Azure CLI](/cli/azure/) to assign the Azure AI Developer role to "[email protected]" for resource group "this-rg" with the following command: 
  
 ```azurecli-interactive
 az role assignment create --role "Azure AI Developer" --assignee "[email protected]" --resource-group this-rg 

articles/ai-studio/how-to/healthcare-ai/healthcare-ai-models.md

@@ -26,7 +26,7 @@ The healthcare industry is undergoing a revolutionary transformation driven by t
 
 :::image type="content" source="../../media/how-to/healthcare-ai/connect-modalities.gif" alt-text="Models that reason about various modalities come together to support discover, development and delivery of healthcare":::
 
-The Azure AI model catalog available in [AI Foundry](../model-catalog-overview.md) and [Azure Machine Learning studio](../../../machine-learning/concept-model-catalog.md) provides healthcare foundation models that facilitate AI-powered analysis of various medical data types and expand well beyond medical text comprehension into the multimodal reasoning about medical data. These AI models can integrate and analyze data from diverse sources that come in various modalities, such as medical imaging, genomics, clinical records, and other structured and unstructured data sources. The models also span several healthcare fields like dermatology, ophthalmology, radiology, and pathology. 
+The Azure AI model catalog available in [Azure AI Foundry](../model-catalog-overview.md) and [Azure Machine Learning studio](../../../machine-learning/concept-model-catalog.md) provides healthcare foundation models that facilitate AI-powered analysis of various medical data types and expand well beyond medical text comprehension into the multimodal reasoning about medical data. These AI models can integrate and analyze data from diverse sources that come in various modalities, such as medical imaging, genomics, clinical records, and other structured and unstructured data sources. The models also span several healthcare fields like dermatology, ophthalmology, radiology, and pathology. 
 
 ## Microsoft first-party models
 

articles/ai-studio/how-to/use-blocklists.md

@@ -19,7 +19,7 @@ You can create custom blocklists in the Azure AI Foundry portal as part of your
 
 ## Create a blocklist
 
-1. Go to [AI Foundry](https://ai.azure.com/) and navigate to your project/hub. Then select the **Safety+ Security** page on the left nav and select the **Blocklists** tab.
+1. Go to [Azure AI Foundry](https://ai.azure.com/) and navigate to your project/hub. Then select the **Safety+ Security** page on the left nav and select the **Blocklists** tab.
     :::image type="content" source="../media/content-safety/content-filter/select-blocklists.png" lightbox="../media/content-safety/content-filter/select-blocklists.png" alt-text="Screenshot of the Blocklists page tab.":::
 1. Select **Create a blocklist**. Enter a name for your blocklist, add a description, and select an Azure OpenAI resource to connect it to. Then select **Create Blocklist**.
 1. Select your new blocklist once it's created. On the blocklist's page, select **Add new term**.

articles/ai-studio/tutorials/copilot-sdk-create-resources.md

@@ -99,7 +99,7 @@ If you already have an Azure AI Search connection in your project, you can skip
 
 In the Azure AI Foundry portal, check for an Azure AI Search connected resource.
 
-1. In [AI Foundry](https://ai.azure.com), go to your project and select **Management center** from the left pane.
+1. In [Azure AI Foundry](https://ai.azure.com), go to your project and select **Management center** from the left pane.
 1. In the **Connected resources** section, look to see if you have a connection of type **Azure AI Search**.
 1. If you have an Azure AI Search connection, you can skip ahead to the next section.
 1. Otherwise, select **New connection** and then **Azure AI Search**.

articles/ai-studio/tutorials/copilot-sdk-evaluate.md

@@ -75,7 +75,7 @@ The script also logs the evaluation results to the cloud project so that you can
 
     :::code language="python" source="~/azureai-samples-nov2024/scenarios/rag/custom-rag-app/evaluate.py" id="run_evaluation":::
 
-### Configure the evaluation model 
+### Configure the evaluation model
 
 Since the evaluation script calls the model many times, you might want to increase the number of tokens per minute for the evaluation model.  
 

articles/ai-studio/what-is-ai-studio.md

@@ -20,7 +20,7 @@ ms.custom: ignite-2023, build-2024, ignite-2024
 
 [!INCLUDE [new-name](includes/new-name.md)]
 
-[AI Foundry](https://ai.azure.com) is designed for developers to:
+[Azure AI Foundry](https://ai.azure.com) is designed for developers to:
 
 - Build generative AI applications on an enterprise-grade platform.
 - Explore, build, test, and deploy using cutting-edge AI tools and ML models, grounded in responsible AI practices.