@@ -20,7 +20,7 @@ Azure OpenAI Assistants (Preview) allows you to create AI assistants tailored to
 
 ::: zone pivot="ai-foundry-portal"
 
-[!INCLUDE [AI Foundry portal](includes/assistants-ai-studio.md)]
+[!INCLUDE [Azure AI Foundry portal](includes/assistants-ai-studio.md)]
 
 ::: zone-end
 

@@ -54,7 +54,7 @@ To help with simplifying the sizing effort, the following table outlines the TPM
 |Max Output TPM per PTU| 833|12,333|
 |Latency Target Value |25 Tokens Per Second|33 Tokens Per Second|
 
-For a full list see the [AOAI Foundry calculator](https://oai.azure.com/portal/calculator).
+For a full list see the [AOAI in Azure AI Foundry calculator](https://oai.azure.com/portal/calculator).
 
 
 > [!NOTE]
@@ -116,7 +116,7 @@ Azure OpenAI is a highly sought-after service where customer demand might exceed
 
 #### Regional capacity guidance
 
-To find the capacity needed for their deployments, use the capacity API or the AI Foundry deployment experience to provide real-time information on capacity availability.
+To find the capacity needed for their deployments, use the capacity API or the Azure AI Foundry deployment experience to provide real-time information on capacity availability.
 
 In Azure AI Foundry, the deployment experience identifies when a region lacks the capacity needed to deploy the model. This looks at the desired model, version and number of PTUs. If capacity is unavailable, the experience directs  users to a select an alternative region.
 
@@ -128,7 +128,7 @@ If an acceptable region isn't available to support the desire model, version and
 
 - Attempt the deployment with a smaller number of PTUs.
 - Attempt the deployment at a different time. Capacity availability changes dynamically based on customer demand and more capacity might become available later.
-- Ensure that quota is available in all acceptable regions. The [model capacities API](/rest/api/aiservices/accountmanagement/model-capacities/list?view=rest-aiservices-accountmanagement-2024-04-01-preview&tabs=HTTP&preserve-view=true) and AI Foundry experience consider quota availability in returning alternative regions for creating a deployment.
+- Ensure that quota is available in all acceptable regions. The [model capacities API](/rest/api/aiservices/accountmanagement/model-capacities/list?view=rest-aiservices-accountmanagement-2024-04-01-preview&tabs=HTTP&preserve-view=true) and Azure AI Foundry experience consider quota availability in returning alternative regions for creating a deployment.
 
 ### Determining the number of PTUs needed for a workload
 

@@ -35,7 +35,7 @@ Below are examples of recommended system message components you can include to p
 The following steps show how to leverage safety system messages in Azure AI Foundry portal.  
 
 1. Go to Azure AI Foundry and navigate to Azure OpenAI and the Chat playground.
-    :::image type="content" source="../media/navigate-chat-playground.PNG" alt-text="Screenshot of the AI Foundry portal selection.":::
+    :::image type="content" source="../media/navigate-chat-playground.PNG" alt-text="Screenshot of the Azure AI Foundry portal selection.":::
 1. Navigate to the default safety system messages integrated in the studio.
     :::image type="content" source="../media/navigate-system-message.PNG" alt-text="Screenshot of the system message navigation.":::
 1. Select the system message(s) that are applicable to your scenario. 

@@ -24,7 +24,7 @@ Get started using GPT-4 Turbo with images with the Azure OpenAI Service.
 
 ::: zone pivot="ai-foundry-portal"
 
-[!INCLUDE [AI Foundry portal quickstart](includes/gpt-v-studio.md)]
+[!INCLUDE [Azure AI Foundry portal quickstart](includes/gpt-v-studio.md)]
 
 ::: zone-end
 

@@ -82,7 +82,7 @@ The following aren't currently supported:
 
 ### Global batch deployment
 
-In the AI Foundry portal the deployment type will appear as `Global-Batch`.
+In the Azure AI Foundry portal the deployment type will appear as `Global-Batch`.
 
 :::image type="content" source="../media/how-to/global-batch/global-batch.png" alt-text="Screenshot that shows the model deployment dialog in Azure AI Foundry portal with Global-Batch deployment type highlighted." lightbox="../media/how-to/global-batch/global-batch.png":::
 
@@ -91,7 +91,7 @@ In the AI Foundry portal the deployment type will appear as `Global-Batch`.
 
 ::: zone pivot="ai-foundry-portal"
 
-[!INCLUDE [AI Foundry portal](../includes/batch/batch-studio.md)]
+[!INCLUDE [Azure AI Foundry portal](../includes/batch/batch-studio.md)]
 
 ::: zone-end
 
@@ -154,7 +154,7 @@ Yes. Similar to other deployment types, you can create content filters and assoc
 
 ### Can I request additional quota?
 
-Yes, from the quota page in the AI Foundry portal. Default quota allocation can be found in the [quota and limits article](../quotas-limits.md#global-batch-quota).
+Yes, from the quota page in the Azure AI Foundry portal. Default quota allocation can be found in the [quota and limits article](../quotas-limits.md#global-batch-quota).
 
 ### What happens if the API doesn't complete my request within the 24 hour time frame?
 

@@ -271,7 +271,7 @@ So far you have already setup each resource work independently. Next you need to
 | `Storage Blob Data Contributor` | Azure OpenAI | Storage Account | Reads from the input container, and writes the preprocessed result to the output container. |
 | `Cognitive Services OpenAI Contributor` | Azure AI Search | Azure OpenAI | Custom skill. |
 | `Storage Blob Data Reader` | Azure AI Search | Storage Account | Reads document blobs and chunk blobs. |
-| `Reader` | Azure AI Foundry Project | Azure Storage Private Endpoints (Blob & File) | Read search indexes created in blob storage within an AI Foundry Project. |
+| `Reader` | Azure AI Foundry Project | Azure Storage Private Endpoints (Blob & File) | Read search indexes created in blob storage within an Azure AI Foundry Project. |
 | `Cognitive Services OpenAI User` | Web app | Azure OpenAI | Inference. |
 
 

@@ -42,7 +42,7 @@ Before you can use GPT-4o real-time audio, you need:
 
 - An Azure subscription - <a href="https://azure.microsoft.com/free/cognitive-services" target="_blank">Create one for free</a>.
 - An Azure OpenAI resource created in a [supported region](#supported-models). For more information, see [Create a resource and deploy a model with Azure OpenAI](create-resource.md).
-- You need a deployment of the `gpt-4o-realtime-preview` model in a supported region as described in the [supported models](#supported-models) section. You can deploy the model from the [Azure AI Foundry portal model catalog](../../../ai-studio/how-to/model-catalog-overview.md) or from your project in AI Foundry portal. 
+- You need a deployment of the `gpt-4o-realtime-preview` model in a supported region as described in the [supported models](#supported-models) section. You can deploy the model from the [Azure AI Foundry portal model catalog](../../../ai-studio/how-to/model-catalog-overview.md) or from your project in Azure AI Foundry portal. 
 
 Here are some of the ways you can get started with the GPT-4o Realtime API for speech and audio:
 - For steps to deploy and use the `gpt-4o-realtime-preview` model, see [the real-time audio quickstart](../realtime-audio-quickstart.md).

@@ -166,7 +166,7 @@ This can be accomplished using the Advanced edit or simple Edit options as previ
 
 ### Using Azure AI Foundry
 
-Follow [this tutorial on integrating Azure AI Search with AI Foundry](/azure/ai-studio/tutorials/deploy-chat-web-app#add-your-data-and-try-the-chat-model-again) and redeploy your application.
+Follow [this tutorial on integrating Azure AI Search with Azure AI Foundry](/azure/ai-studio/tutorials/deploy-chat-web-app#add-your-data-and-try-the-chat-model-again) and redeploy your application.
 
 ### Using Azure OpenAI Studio
 

@@ -87,7 +87,7 @@ Give your Azure OpenAI resource the **Key Vault Secrets Officer** role.
 
 ## Link Weights & Biases with Azure OpenAI
 
-1. Navigate to the [AI Foundry portal](https://ai.azure.com) and select your Azure OpenAI fine-tuning resource.
+1. Navigate to the [Azure AI Foundry portal](https://ai.azure.com) and select your Azure OpenAI fine-tuning resource.
 
     :::image type="content" source="../media/how-to/weights-and-biases/manage-integrations.png" alt-text="Screenshot of the manage integrations button." lightbox="../media/how-to/weights-and-biases/manage-integrations.png":::
 

@@ -1,7 +1,7 @@
 ---
-title: Quickstart - getting started with Azure OpenAI assistants (preview) in AI Foundry portal
+title: Quickstart - getting started with Azure OpenAI assistants (preview) in Azure AI Foundry portal
 titleSuffix: Azure OpenAI
-description: Walkthrough on how to get started with Azure OpenAI assistants with new features like code interpreter in AI Foundry portal (Preview).
+description: Walkthrough on how to get started with Azure OpenAI assistants with new features like code interpreter in Azure AI Foundry portal (Preview).
 manager: nitinme
 ms.service: azure-ai-studio
 ms.custom:

@@ -41,7 +41,7 @@ Use the **Assistant setup** pane to create a new AI assistant or to select an ex
 | **Deployment** | This is where you set which model deployment to use with your assistant. |
 | **Functions**| Create custom function definitions for the models to formulate API calls and structure data outputs based on your specifications |
 | **Code interpreter** | Code interpreter provides access to a sandboxed Python environment that can be used to allow the model to test and execute code. |
-| **Files** | You can upload up to 20 files, with a max file size of 512 MB to use with tools. You can upload up to 10,000 files using [AI Foundry portal](../assistants-quickstart.md?pivots=ai-foundry-portal). |
+| **Files** | You can upload up to 20 files, with a max file size of 512 MB to use with tools. You can upload up to 10,000 files using [Azure AI Foundry portal](../assistants-quickstart.md?pivots=ai-foundry-portal). |
 
 ### Tools
 

@@ -70,7 +70,7 @@ For this article, we'll create a file named `test.jsonl` and will copy the conte
 
 Once your input file is prepared, you first need to upload the file to then be able to kick off a batch job. File upload can be done both programmatically or via the Studio.
 
-1. Sign in to [AI Foundry portal](https://ai.azure.com).
+1. Sign in to [Azure AI Foundry portal](https://ai.azure.com).
 2. Select the Azure OpenAI resource where you have a global batch model deployment available.
 3. Select **Batch jobs** > **+Create batch jobs**.
 

@@ -19,15 +19,15 @@ recommendations: false
 
 Navigate to [Azure AI Foundry](https://ai.azure.com/) and sign-in with credentials that have access to your Azure OpenAI resource. 
 
-1. You can either [create an AI Foundry project](../../../ai-studio/how-to/create-projects.md) by clicking **Create project**, or continue directly by clicking the button on the **Focused on Azure OpenAI Service** tile.  
+1. You can either [create an Azure AI Foundry project](../../../ai-studio/how-to/create-projects.md) by clicking **Create project**, or continue directly by clicking the button on the **Focused on Azure OpenAI Service** tile.  
 
     :::image type="content" source="../media/use-your-data/ai-studio-homepage.png" alt-text="A screenshot of the Azure AI Foundry portal landing page." lightbox="../media/use-your-data/ai-studio-homepage.png":::
 
 1. Select **Chat** under **Playgrounds** in the left navigation menu, and select your model deployment.
 
 1. In the **Chat playground**, Select **Add your data** and then **Add a data source**
 
-    :::image type="content" source="../media/use-your-data/chat-playground.png" alt-text="A screenshot of the chat playground in  AI Foundry." lightbox="../media/use-your-data/chat-playground.png":::
+    :::image type="content" source="../media/use-your-data/chat-playground.png" alt-text="A screenshot of the chat playground in  Azure AI Foundry." lightbox="../media/use-your-data/chat-playground.png":::
 
 1. In the pane that appears, select **Upload files (preview)** under **Select data source**. Azure OpenAI needs both a storage resource and a search resource to access and index your data. 
 

@@ -13,7 +13,7 @@ manager: nitinme
 > [!NOTE]
 > `gpt-35-turbo` - Fine-tuning of this model is limited to a subset of regions, and isn't available in every region the base model is available. 
 >
-> The supported regions for fine-tuning might vary if you use Azure OpenAI models in an AI Foundry project versus outside a project.
+> The supported regions for fine-tuning might vary if you use Azure OpenAI models in an Azure AI Foundry project versus outside a project.
 
 |  Model ID  | Fine-tuning regions | Max request (tokens) | Training Data (up to) |
 |  --- | --- | :---: | :---: |

@@ -20,7 +20,7 @@ ms.custom: include, build-2024
 - An [Azure AI project](../../../ai-studio/how-to/create-projects.md) in Azure AI Foundry portal.
 - An [Azure OpenAI connection](/azure/ai-studio/how-to/connections-add?tabs=azure-openai#connection-details) to a resource in a [region where fine-tuning is supported](/azure/ai-services/openai/concepts/models#fine-tuning-models).
     > [!NOTE]
-    > The supported regions might vary if you use Azure OpenAI models in an AI Foundry project versus outside a project.
+    > The supported regions might vary if you use Azure OpenAI models in an Azure AI Foundry project versus outside a project.
 - Fine-tuning access requires **Cognitive Services OpenAI Contributor** role on the Azure OpenAI resource.
 - If you don't already have access to view quota and deploy models in Azure AI Foundry portal you need [more permissions](../how-to/role-based-access-control.md).
 

@@ -36,4 +36,4 @@ This is the replacement for the following preview models:
 
 ### Deploying GPT-4 Turbo with Vision GA
 
-To deploy the GA model from the AI Foundry portal, select `GPT-4` and then choose the `turbo-2024-04-09` version from the dropdown menu. The default quota for the `gpt-4-turbo-2024-04-09` model will be the same as current quota for GPT-4-Turbo. See the [regional quota limits.](../quotas-limits.md)
+To deploy the GA model from the Azure AI Foundry portal, select `GPT-4` and then choose the `turbo-2024-04-09` version from the dropdown menu. The default quota for the `gpt-4-turbo-2024-04-09` model will be the same as current quota for GPT-4-Turbo. See the [regional quota limits.](../quotas-limits.md)

@@ -46,14 +46,14 @@ Support for the Realtime API was first added in API version `2024-10-01-preview`
 
 Before you can use GPT-4o real-time audio, you need a deployment of the `gpt-4o-realtime-preview` model in a supported region as described in the [supported models](#supported-models) section.
 
-1. Go to the [AI Foundry home page](https://ai.azure.com) and make sure you're signed in with the Azure subscription that has your Azure OpenAI Service resource (with or without model deployments.)
+1. Go to the [Azure AI Foundry home page](https://ai.azure.com) and make sure you're signed in with the Azure subscription that has your Azure OpenAI Service resource (with or without model deployments.)
 1. Select the **Real-time audio** playground from under **Resource playground** in the left pane.
 1. Select **+ Create a deployment** to open the deployment window. 
 1. Search for and select the `gpt-4o-realtime-preview` model and then select **Confirm**.
 1. In the deployment wizard, make sure to select the `2024-10-01` model version.
 1. Follow the wizard to deploy the model.
 
-Now that you have a deployment of the `gpt-4o-realtime-preview` model, you can interact with it in real time in the AI Foundry portal **Real-time audio** playground or Realtime API.
+Now that you have a deployment of the `gpt-4o-realtime-preview` model, you can interact with it in real time in the Azure AI Foundry portal **Real-time audio** playground or Realtime API.
 
 ## Use the GPT-4o real-time audio
 
@@ -64,7 +64,7 @@ Now that you have a deployment of the `gpt-4o-realtime-preview` model, you can i
 
 To chat with your deployed `gpt-4o-realtime-preview` model in the [Azure AI Foundry](https://ai.azure.com) **Real-time audio** playground, follow these steps:
 
-1. the [Azure OpenAI Service page](https://ai.azure.com/resource/overview) in AI Foundry portal. Make sure you're signed in with the Azure subscription that has your Azure OpenAI Service resource and the deployed `gpt-4o-realtime-preview` model.
+1. the [Azure OpenAI Service page](https://ai.azure.com/resource/overview) in Azure AI Foundry portal. Make sure you're signed in with the Azure subscription that has your Azure OpenAI Service resource and the deployed `gpt-4o-realtime-preview` model.
 1. Select the **Real-time audio** playground from under **Resource playground** in the left pane.
 1. Select your deployed `gpt-4o-realtime-preview` model from the **Deployment** dropdown. 
 1. Select **Enable microphone** to allow the browser to access your microphone. If you already granted permission, you can skip this step.

@@ -145,7 +145,7 @@ Global batch now supports GPT-4o (2024-08-06). See the [global batch getting sta
 
 ### Azure OpenAI Studio UX updates
 
-On September 19, when you access the [Azure OpenAI Studio](https://oai.azure.com/) you'll begin to no longer see the legacy AI Foundry portal by default. If needed you'll still be able to go back to the previous experience by using the **Switch to the old look** toggle in the top bar of the UI for the next couple of weeks. If you switch back to legacy AI Foundry portal, it helps if you fill out the feedback form to let us know why. We're actively monitoring this feedback to improve the new experience.
+On September 19, when you access the [Azure OpenAI Studio](https://oai.azure.com/) you'll begin to no longer see the legacy Azure AI Foundry portal by default. If needed you'll still be able to go back to the previous experience by using the **Switch to the old look** toggle in the top bar of the UI for the next couple of weeks. If you switch back to legacy Azure AI Foundry portal, it helps if you fill out the feedback form to let us know why. We're actively monitoring this feedback to improve the new experience.
 
 
 ### GPT-4o 2024-08-06 provisioned deployments
@@ -188,7 +188,7 @@ OpenAI has incorporated additional safety measures into the `o1` models, includi
 
 ### Availability
 
-The `o1-preview` and `o1-mini` are available in the East US2 region for limited access through the [AI Foundry portal](https://ai.azure.com) early access playground. Data processing for the `o1` models might occur in a different region than where they are available for use.
+The `o1-preview` and `o1-mini` are available in the East US2 region for limited access through the [Azure AI Foundry portal](https://ai.azure.com) early access playground. Data processing for the `o1` models might occur in a different region than where they are available for use.
 
 To try the `o1-preview` and `o1-mini` models in the early access playground **registration is required, and access will be granted based on Microsoft’s eligibility criteria.**
 
@@ -244,9 +244,9 @@ On August 6, 2024, OpenAI [announced](https://openai.com/index/introducing-struc
 * An enhanced ability to support complex structured outputs.
 * Max output tokens have been increased from 4,096 to 16,384.
 
-Azure customers can test out GPT-4o `2024-08-06` today in the new AI Foundry early access playground (preview).
+Azure customers can test out GPT-4o `2024-08-06` today in the new Azure AI Foundry early access playground (preview).
 
-Unlike the previous early access playground, the AI Foundry portal early access playground (preview) doesn't require you to have a resource in a specific region.
+Unlike the previous early access playground, the Azure AI Foundry portal early access playground (preview) doesn't require you to have a resource in a specific region.
 
 > [!NOTE]
 > Prompts and completions made through the early access playground (preview) might be processed in any Azure OpenAI region, and are currently subject to a 10 request per minute per Azure subscription limit. This limit might change in the future.