@@ -18,9 +18,9 @@ recommendations: false
 
 Azure OpenAI Assistants (Preview) allows you to create AI assistants tailored to your needs through custom instructions and augmented by advanced tools like code interpreter, and custom functions.
 
-::: zone pivot="programming-language-ai-studio"
+::: zone pivot="ai-foundry-portal"
 
-[!INCLUDE [AI Foundry](includes/assistants-ai-studio.md)]
+[!INCLUDE [AI Foundry portal](includes/assistants-ai-studio.md)]
 
 ::: zone-end
 

@@ -22,9 +22,9 @@ Get started using GPT-4 Turbo with images with the Azure OpenAI Service.
 >
 > The latest vision-capable models are `gpt-4o` and `gpt-4o mini`. These are in public preview. The latest available GA model is `gpt-4` version `turbo-2024-04-09`.
 
-::: zone pivot="programming-language-studio"
+::: zone pivot="ai-foundry-portal"
 
-[!INCLUDE [Studio quickstart](includes/gpt-v-studio.md)]
+[!INCLUDE [AI Foundry portal quickstart](includes/gpt-v-studio.md)]
 
 ::: zone-end
 

@@ -89,9 +89,9 @@ In the AI Foundry portal the deployment type will appear as `Global-Batch`.
 > [!TIP]
 > We recommend enabling **dynamic quota** for all global batch model deployments to help avoid job failures due to insufficient enqueued token quota. Dynamic quota allows your deployment to opportunistically take advantage of more quota when extra capacity is available. When dynamic quota is set to off, your deployment will only be able to process requests up to the enqueued token limit that was defined when you created the deployment.
 
-::: zone pivot="programming-language-ai-studio"
+::: zone pivot="ai-foundry-portal"
 
-[!INCLUDE [Studio](../includes/batch/batch-studio.md)]
+[!INCLUDE [AI Foundry portal](../includes/batch/batch-studio.md)]
 
 ::: zone-end
 

@@ -10,7 +10,7 @@ ms.topic: how-to
 ms.date: 11/11/2024
 author: mrbullwinkle
 ms.author: mbullwin
-zone_pivot_groups: openai-fine-tuning-newest
+zone_pivot_groups: openai-fine-tuning
 ---
 
 # Customize a model with fine-tuning

@@ -14,7 +14,9 @@ recommendations: false
 
 # Prompt caching
 
-Prompt caching allows you to reduce overall request latency and cost for longer prompts that have identical content at the beginning of the prompt. *"Prompt"* in this context is referring to the input you send to the model as part of your chat completions request. Rather than reprocess the same input tokens over and over again, the model is able to retain a temporary cache of processed input data to improve overall performance. Prompt caching has no impact on the output content returned in the model response beyond a reduction in latency and cost. For supported models, cached tokens are billed at a [50% discount on input token pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/).
+Prompt caching allows you to reduce overall request latency and cost for longer prompts that have identical content at the beginning of the prompt. *"Prompt"* in this context is referring to the input you send to the model as part of your chat completions request. Rather than reprocess the same input tokens over and over again, the service is able to retain a temporary cache of processed input token computations to improve overall performance. Prompt caching has no impact on the output content returned in the model response beyond a reduction in latency and cost. For supported models, cached tokens are billed at a [50% discount on input token pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) for Standard deployment types and up to [100% discount on input tokens](/azure/ai-services/openai/concepts/provisioned-throughput) for Provisioned deployment types. 
+
+Caches are typically cleared within 5-10 minutes of inactivity and are always removed within one hour of the cache's last use. Prompt caches are not shared between Azure subscriptions. 
 
 ## Supported models
 
@@ -28,7 +30,7 @@ Currently only the following models support prompt caching with Azure OpenAI:
 
 ## API support
 
-Official support for prompt caching was first added in API version `2024-10-01-preview`. At this time, only `o1-preview-2024-09-12` and `o1-mini-2024-09-12` models support the `cached_tokens` API response parameter.
+Official support for prompt caching was first added in API version `2024-10-01-preview`. At this time, only the o1 model family supports the `cached_tokens` API response parameter.
 
 ## Getting started
 
@@ -37,7 +39,7 @@ For a request to take advantage of prompt caching the request must be both:
 - A minimum of 1,024 tokens in length.
 - The first 1,024 tokens in the prompt must be identical.
 
-When a match is found between a prompt and the current content of the prompt cache, it's referred to as a cache hit. Cache hits will show up as [`cached_tokens`](/azure/ai-services/openai/reference-preview#cached_tokens) under [`prompt_token_details`](/azure/ai-services/openai/reference-preview#properties-for-prompt_tokens_details) in the chat completions response.
+When a match is found between the token computations in a prompt and the current content of the prompt cache, it's referred to as a cache hit. Cache hits will show up as [`cached_tokens`](/azure/ai-services/openai/reference-preview#cached_tokens) under [`prompt_token_details`](/azure/ai-services/openai/reference-preview#properties-for-prompt_tokens_details) in the chat completions response.
 
 ```json
 {
@@ -83,8 +85,4 @@ To improve the likelihood of cache hits occurring, you should structure your req
 
 ## Can I disable prompt caching?
 
-Prompt caching is enabled by default. There is no opt-out option.
-
-## How does prompt caching work for Provisioned deployments?
-
-For supported models on provisioned deployments, we discount up to 100% of cached input tokens. For more information, see our [Provisioned Throughput documentation](/azure/ai-services/openai/concepts/provisioned-throughput). 
\ No newline at end of file
+Prompt caching is enabled by default for all supported models. There is no opt-out support for prompt caching. 
\ No newline at end of file

@@ -87,7 +87,7 @@ Give your Azure OpenAI resource the **Key Vault Secrets Officer** role.
 
 ## Link Weights & Biases with Azure OpenAI
 
-1. Navigate to [AI Foundry](https://ai.azure.com) and select your Azure OpenAI fine-tuning resource.
+1. Navigate to [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":::
 

@@ -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](../assistants-quickstart.md?pivots=programming-language-ai-studio). |
+| **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). |
 
 ### 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](https://ai.azure.com).
+1. Sign in to [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**.
 

@@ -19,9 +19,6 @@ ms.date: 11/15/2023
 - An Azure OpenAI Service resource with either the `gpt-35-turbo` or the `gpt-4` models deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=DOTNET&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Prerequisites)
-
 ## Set up
 
 [!INCLUDE [Create a new .NET application](./dotnet-new-application.md)]
@@ -31,9 +28,6 @@ ms.date: 11/15/2023
 [!INCLUDE [environment-variables](environment-variables.md)]
 
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=DOTNET&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up)
-
 ## Create a sample application
 
 From the project directory, open the *program.cs* file and replace with the following code:
@@ -121,8 +115,6 @@ await foreach(var chatUpdate in chatUpdates)
 }
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code samples.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=DOTNET&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Create-dotnet-application)
 
 ## Clean up resources
 

@@ -20,8 +20,6 @@ ms.date: 07/03/2024
 - The [Gradle build tool](https://gradle.org/install/), or another dependency manager.
 - An Azure OpenAI Service resource with either the `gpt-35-turbo` or the `gpt-4` models deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVA&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Prerequisites)
 
 ## Set up
 
@@ -48,9 +46,6 @@ gradle init --type basic
 When prompted to choose a **DSL**, select **Kotlin**.
 
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVA&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up-the-environment)
-
 ## Install the Java SDK
 
 This quickstart uses the Gradle dependency manager. You can find the client library and information for other dependency managers on the [Maven Central Repository](https://central.sonatype.com/search?q=azure-ai-openai).
@@ -175,8 +170,6 @@ Yes, most of the Azure AI services support customer managed keys. However, there
 Usage: number of prompt token is 59, number of completion token is 36, and number of total tokens in request and response is 95.
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVA&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Create-application)
 
 ## Clean up resources
 

@@ -23,9 +23,6 @@ ms.date: 10/22
 - [Azure CLI](/cli/azure/install-azure-cli) used for passwordless authentication in a local development environment, create the necessary context by signing in with the Azure CLI.
 - An Azure OpenAI Service resource with either a `gpt-35-turbo` or `gpt-4` series models deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Prerequisites)
-
 
 ## Set up
 
@@ -47,9 +44,6 @@ npm install openai @azure/identity
 
 Your app's _package.json_ file will be updated with the dependencies.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up-the-environment)
-
 ## Create a sample application
 
 Open a command prompt where you want the new project, and create a new file named ChatCompletion.js. Copy the following code into the ChatCompletion.js file.
@@ -166,8 +160,6 @@ node.exe ChatCompletion.js
 > [!NOTE]
 > If your receive the error: *Error occurred: OpenAIError: The `apiKey` and `azureADTokenProvider` arguments are mutually exclusive; only one can be passed at a time.* You may need to remove a pre-existing environment variable for the API key from your system. Even though the Microsoft Entra ID code sample is not explicitly referencing the API key environment variable, if one is present on the system executing this sample, this error will still be generated.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Create-application)
 
 ## Clean up resources
 

@@ -17,9 +17,6 @@ ms.date: 08/28/2023
 - An Azure OpenAI Service resource with a model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 - An Azure OpenAI Service resource with either the `gpt-35-turbo` or the `gpt-4` models deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=POWERSHELL&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Prerequisites)
-
 ### Retrieve key and endpoint
 
 To successfully make a call against Azure OpenAI, you'll need an **endpoint** and a **key**.
@@ -62,8 +59,6 @@ echo export AZURE_OPENAI_ENDPOINT="REPLACE_WITH_YOUR_ENDPOINT_HERE" >> /etc/envi
 
 ---
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=POWERSHELL&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up)
 
 ## Create a new PowerShell script
 
@@ -144,8 +139,6 @@ $reponse = ./quickstart.ps1
 $response.choices.message.content
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=POWERSHELL&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Create-powershell-script)
 
 ### Understanding the message structure
 

@@ -20,8 +20,6 @@ ms.date: 11/15/2023
 - The following Python libraries: os.
 - An Azure OpenAI Service resource with either the `gpt-35-turbo` or the `gpt-4` models deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=PYTHON&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Prerequisites)
 
 ## Set up
 
@@ -50,8 +48,6 @@ pip install openai==0.28.1
 
 [!INCLUDE [environment-variables](environment-variables.md)]
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=PYTHON&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up)
 
 ## Create a new Python application
 
@@ -150,9 +146,6 @@ print(response['choices'][0]['message']['content'])
 Yes, most of the Azure AI services support customer managed keys. However, not all services support it. You can check the documentation of each service to confirm if customer managed keys are supported.
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=PYTHON&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Create-python-application)
-
 ### Understanding the message structure
 
 The GPT-35-Turbo and GPT-4 models are optimized to work with inputs formatted as a conversation.  The `messages` variable passes an array of dictionaries with different roles in the conversation delineated by system, user, and assistant. The system message can be used to prime the model by including context or instructions on how the model should respond.

@@ -25,8 +25,6 @@ ms.date: 03/21/2023
 [!INCLUDE [environment-variables](environment-variables.md)]
 
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up)
 
 ## REST API
 
@@ -62,8 +60,6 @@ If you want to run this command in a normal Windows command prompt you would nee
 
 Output formatting adjusted for ease of reading, actual output is a single block of text without line breaks.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Create-sample-code)
 
 ### Understanding the message structure
 

@@ -17,17 +17,13 @@ ms.date: 11/27/2023
 - The [Spring Boot CLI tool](https://docs.spring.io/spring-boot/docs/current/reference/html/getting-started.html#getting-started.installing.cli)
 - An Azure OpenAI Service resource with the `gpt-35-turbo` model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md). This example assumes that your deployment name matches the model name `gpt-35-turbo`
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=SPRING&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Prerequisites)
-
 ## Set up
 
 [!INCLUDE [get-key-endpoint](get-key-endpoint.md)]
 
 [!INCLUDE [environment-variables](spring-environment-variables.md)]
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=SPRING&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up-the-environment)
+
 
 ## Create a new Spring application
 
@@ -217,8 +213,6 @@ Prompt created 1 generated response(s).
 Generated respose from "assistant": Yes, other Azure AI services also support customer managed keys. Azure AI Services, Azure Machine Learning, and other AI services in Azure provide options for customers to manage and control their encryption keys. This allows customers to have greater control over their data and security.
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=SPRING&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Create-application)
 
 ## Clean up resources
 

@@ -25,8 +25,6 @@ ms.date: 10/22
 - [Azure CLI](/cli/azure/install-azure-cli) used for passwordless authentication in a local development environment, create the necessary context by signing in with the Azure CLI.
 - An Azure OpenAI Service resource with a `gpt-35-turbo` or `gpt-4` series models deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Prerequisites)
 
 
 ## Set up
@@ -49,8 +47,6 @@ npm install openai @azure/identity
 
 Your app's _package.json_ file will be updated with the dependencies.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up-the-environment)
 
 ## Create a sample application
 
@@ -225,8 +221,6 @@ node.exe ChatCompletion.js
 > [!NOTE]
 > If your receive the error: *Error occurred: OpenAIError: The `apiKey` and `azureADTokenProvider` arguments are mutually exclusive; only one can be passed at a time.* You may need to remove a pre-existing environment variable for the API key from your system. Even though the Microsoft Entra ID code sample is not explicitly referencing the API key environment variable, if one is present on the system executing this sample, this error will still be generated.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Create-application)
 
 ## Clean up resources
 

@@ -54,5 +54,4 @@ Navigate to [Azure AI Foundry](https://ai.azure.com/) and sign-in with credentia
     
 1. Review the details you entered, and select **Save and close**. You can now chat with the model and it will use information from your data to construct the response.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue adding my data.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=STUDIO&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Adding-data)
+

@@ -27,10 +27,6 @@ Use this guide to get started calling the Azure OpenAI Service image generation
 
 [!INCLUDE [environment-variables](environment-variables.md)]
 
-<!--
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=POWERSHELL&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up)
--->
 
 ## Generate images with DALL-E 2
 

@@ -27,5 +27,4 @@ update an existing app, select **Publish to an existing web app** and choose the
 app from the dropdown menu.
 
 If you choose to deploy a web app, see the [important considerations](../how-to/use-web-app.md#important-considerations) for using it.
-> [!div class="nextstepaction"]
-> [I ran into an issue with deploying the model.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=STUDIO&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Create-sample-app)
+

@@ -19,8 +19,6 @@ ms.date: 07/26/2023
 - The current version of <a href="https://dotnet.microsoft.com/download/dotnet-core" target="_blank">.NET Core</a>
 - An Azure OpenAI Service resource with the `gpt-35-turbo-instruct` model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=DOTNET&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Prerequisites)
 
 ## Set up
 
@@ -61,8 +59,6 @@ dotnet add package Azure.AI.OpenAI --version 1.0.0-beta.17
 
 [!INCLUDE [environment-variables](environment-variables.md)]
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=DOTNET&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Set-up)
 
 ## Create a sample application
 
@@ -106,9 +102,6 @@ Chatbot:
 Microsoft was founded on April 4, 1975.
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=DOTNET&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Create-dotnet-application)
-
 
 ## Clean up resources
 

@@ -390,7 +390,7 @@ When the fine-tuning job succeeds, the value of the `fine_tuned_model` variable
 
 [!INCLUDE [Fine-tuning deletion](fine-tune.md)]
 
-You can also use [Azure AI Foundry](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-ai-studio#deploy-a-fine-tuned-model) or the [Azure CLI](#deploy-a-model-with-azure-cli) to deploy your customized model.
+You can also use [Azure AI Foundry](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=ai-foundry-portal#deploy-a-fine-tuned-model) or the [Azure CLI](#deploy-a-model-with-azure-cli) to deploy your customized model.
 
 > [!NOTE]
 > Only one deployment is permitted for a customized model. An error occurs if you select an already-deployed customized model.
@@ -656,14 +656,14 @@ When you're done with your customized model, you can delete the deployment and m
 
 You can use various methods to delete the deployment for your customized model:
 
-- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=programming-language-ai-studio#delete-your-model-deployment)</a>
+- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=ai-foundry-portal#delete-your-model-deployment)</a>
 - The [Azure CLI](/cli/azure/cognitiveservices/account/deployment?preserve-view=true#az-cognitiveservices-account-deployment-delete)
 
 ### Delete your customized model
 
 Similarly, you can use various methods to delete your customized model:
 
-- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=programming-language-ai-studio#delete-your-customized-model)
+- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=ai-foundry-portal#delete-your-customized-model)
 
 > [!NOTE]
 > You can't delete a customized model if it has an existing deployment. You must first [delete your model deployment](#delete-your-model-deployment) before you can delete your customized model.
@@ -672,7 +672,7 @@ Similarly, you can use various methods to delete your customized model:
 
 You can optionally delete training and validation files that you uploaded for training, and result files generated during training, from your Azure OpenAI subscription. You can use the following methods to delete your training, validation, and result files:
 
-- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=programming-language-ai-studio#delete-your-training-files)
+- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=ai-foundry-portal#delete-your-training-files)
 - The [REST APIs](/rest/api/azureopenai/files/delete)
 - The Python SDK
 

@@ -400,14 +400,14 @@ When you're done with your customized model, you can delete the deployment and m
 
 You can use various methods to delete the deployment for your customized model:
 
-- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=programming-language-ai-studio#delete-your-model-deployment)
+- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=ai-foundry-portal#delete-your-model-deployment)
 - The [Azure CLI](/cli/azure/cognitiveservices/account/deployment?view=azure-cli-latest&preserve-view=true#az-cognitiveservices-account-deployment-delete)
 
 ### Delete your customized model
 
 Similarly, you can use various methods to delete your customized model:
 
-- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=programming-language-ai-studio#delete-your-customized-model)
+- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=ai-foundry-portal#delete-your-customized-model)
 
 > [!NOTE]
 > You can't delete a customized model if it has an existing deployment. You must first [delete your model deployment](#delete-your-model-deployment) before you can delete your customized model.
@@ -416,7 +416,7 @@ Similarly, you can use various methods to delete your customized model:
 
 You can optionally delete training and validation files that you uploaded for training, and result files generated during training, from your Azure OpenAI subscription. You can use the following methods to delete your training, validation, and result files:
 
-- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=programming-language-ai-studio#delete-your-training-files)
+- [Azure AI Foundry](../how-to/fine-tuning.md?pivots=ai-foundry-portal#delete-your-training-files)
 
 ## Continuous fine-tuning
 

@@ -21,17 +21,13 @@ ms.date: 07/26/2023
 * The [Gradle build tool](https://gradle.org/install/), or another dependency manager.
 - An Azure OpenAI Service resource with the `gpt-35-turbo-instruct` model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVA&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Prerequisites)
 
 ## Set up
 
 [!INCLUDE [get-key-endpoint](get-key-endpoint.md)]
 
 [!INCLUDE [environment-variables](environment-variables.md)]
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVA&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Set-up-the-environment)
 
 ## Create a new Java application
 
@@ -159,8 +155,6 @@ Microsoft was founded on April 4, 1975..
 Usage: number of prompt token is 5, number of completion token is 11, and number of total tokens in request and response is 16.
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVA&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Create-application)
 
 ## Clean up resources
 

@@ -24,8 +24,6 @@ ms.date: 10/22/2024
 - [Azure CLI](/cli/azure/install-azure-cli) used for passwordless authentication in a local development environment, create the necessary context by signing in with the Azure CLI.
 - An Azure OpenAI Service resource with the `gpt-35-turbo-instruct` model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Prerequisites)
 
 
 ## Set up
@@ -46,8 +44,6 @@ npm install openai @azure/identity
 
 Your app's _package.json_ file will be updated with the dependencies.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Set-up-the-environment)
 
 ## Create a sample application
 
@@ -152,8 +148,6 @@ Microsoft was founded on April 4, 1975.
 > [!NOTE]
 > If your receive the error: *Error occurred: OpenAIError: The `apiKey` and `azureADTokenProvider` arguments are mutually exclusive; only one can be passed at a time.* You may need to remove a pre-existing environment variable for the API key from your system. Even though the Microsoft Entra ID code sample is not explicitly referencing the API key environment variable, if one is present on the system executing this sample, this error will still be generated.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Create-application)
 
 ## Clean up resources
 

@@ -15,9 +15,6 @@ ms.date: 08/28/2023
 - <a href="https://aka.ms/installpowershell" target="_blank">You can use either the latest version, PowerShell 7, or Windows PowerShell 5.1.</a>
 - An Azure OpenAI Service resource with a model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=POWERSHELL&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Prerequisites)
-
 ## Retrieve key and endpoint
 
 To successfully make a call against the Azure OpenAI service, you'll need the following:
@@ -70,8 +67,6 @@ echo export AZURE_OPENAI_ENDPOINT="REPLACE_WITH_YOUR_ENDPOINT_HERE" >> /etc/envi
 
 ---
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=POWERSHELL&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Set-up)
 
 ## Create a new PowerShell script
 
@@ -131,8 +126,6 @@ Once upon a time...
 
 Run the code a few more times to see what other types of responses you get as the response won't always be the same.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=POWERSHELL&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Create-PowerShell-script)
 
 ### Understanding your results
 

@@ -18,8 +18,6 @@ ms.date: 01/03/2024
 - The following Python libraries: os, requests, json
 - An Azure OpenAI Service resource with a `gpt-35-turbo-instruct` model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=PYTHON&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Prerequisites)
 
 ## Set up
 
@@ -60,8 +58,6 @@ Go to your resource in the Azure portal. The **Keys and Endpoint** can be found
 
 [!INCLUDE [environment-variables](environment-variables.md)]
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=PYTHON&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Set-up)
 
 ## Create a new Python application
 
@@ -133,8 +129,6 @@ Write a tagline for an ice cream shop. The coldest ice cream in town!
 
 Run the code a few more times to see what other types of responses you get as the response won't always be the same.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=PYTHON&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Create-python-application)
 
 ### Understanding your results
 

@@ -34,9 +34,6 @@ Go to your resource in the Azure portal. The **Endpoint and Keys** can be found
 
 [!INCLUDE [environment-variables](environment-variables.md)]
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Set-up)
-
 
 ## REST API
 
@@ -82,8 +79,6 @@ The output from the completions API will look as follows.
 }
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST&Pillar=AOAI&Product=gpt&Page=quickstart&Section=Create-sample-code)
 
 The Azure OpenAI Service also performs content moderation on the prompt inputs and generated outputs. The prompts or responses may be filtered if harmful content is detected. For more information, see the [content filter](../concepts/content-filter.md) article.
 

@@ -17,18 +17,13 @@ ms.date: 11/27/2023
 - The [Spring Boot CLI tool](https://docs.spring.io/spring-boot/docs/current/reference/html/getting-started.html#getting-started.installing.cli)
 - An Azure OpenAI Service resource with the `gpt-35-turbo` model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=SPRING&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Prerequisites)
 
 ## Set up
 
 [!INCLUDE [get-key-endpoint](get-key-endpoint.md)]
 
 [!INCLUDE [environment-variables](spring-environment-variables.md)]
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=SPRING&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Set-up-the-environment)
-
 ## Create a new Spring application
 
 Create a new Spring project.
@@ -213,8 +208,6 @@ Prompt created 1 generated response(s).
 Generated respose from "assistant": Microsoft was founded on April 4, 1975.
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=SPRING&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Create-application)
 
 ## Clean up resources
 

@@ -24,9 +24,6 @@ ms.date: 10/22/2024
 - [Azure CLI](/cli/azure/install-azure-cli) used for passwordless authentication in a local development environment, create the necessary context by signing in with the Azure CLI.
 - An Azure OpenAI Service resource with the `gpt-35-turbo-instruct` model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Prerequisites)
-
 ## Set up
 
 [!INCLUDE [get-key-endpoint](get-key-endpoint.md)]
@@ -45,8 +42,6 @@ npm install openai @azure/identity
 
 Your app's _package.json_ file will be updated with the dependencies.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Set-up-the-environment)
 
 ## Create a sample application
 
@@ -207,8 +202,6 @@ Microsoft was founded on April 4, 1975.
 > [!NOTE]
 > If your receive the error: *Error occurred: OpenAIError: The `apiKey` and `azureADTokenProvider` arguments are mutually exclusive; only one can be passed at a time.* You may need to remove a pre-existing environment variable for the API key from your system. Even though the Microsoft Entra ID code sample is not explicitly referencing the API key environment variable, if one is present on the system executing this sample, this error will still be generated.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&&Product=gpt&Page=quickstart&Section=Create-application)
 
 ## Clean up resources
 

@@ -98,5 +98,3 @@ export AZURE_AI_SEARCH_INDEX=REPLACE_WITH_YOUR_INDEX_NAME_HERE
 
 ---
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Set-up)

@@ -154,5 +154,4 @@ foreach (AzureChatCitation citation in onYourDataContext?.Citations ?? [])
 }
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code samples.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=dotnet&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Create-dotnet-application)
+

@@ -126,6 +126,3 @@ ms.date: 03/07/2024
    ```
 
    The application prints the response including both answers to your query and citations from your uploaded files.
-
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code samples.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=dotnet&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Create-dotnet-application)

@@ -226,5 +226,3 @@ The available health plans in the Contoso Electronics plan and benefit packages
 
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code sample.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=JAVASCRIPT&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Create-application)

@@ -75,8 +75,6 @@ The available health plans in the Contoso Electronics plan and benefit packages
 > [!IMPORTANT]
 > For production, use a secure way of storing and accessing your credentials like [The PowerShell Secret Management with Azure Key Vault](/powershell/utility-modules/secretmanagement/how-to/using-azure-keyvault). For more information about credential security, see the Azure AI services [security](../../security-features.md) article.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with sending the request.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Send-request)
 
 ## Chat with your model using a web app
 

@@ -163,6 +163,3 @@ python main.py
 ```
 
 The application prints the response in a JSON format suitable for use in many scenarios. It includes both answers to your query and citations from your uploaded files.
-
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code samples.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=dotnet&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Create-dotnet-application)

@@ -85,9 +85,6 @@ curl -i -X POST $AZURE_OPENAI_ENDPOINT/openai/deployments/$AZURE_OPENAI_DEPLOYME
 }
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with sending the request.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Send-request)
-
 ## Chat with your model using a web app
 
 To start chatting with the Azure OpenAI model that uses your data, you can deploy a web app using [Azure OpenAI studio](../concepts/use-your-data.md#deploy-to-a-copilot-preview-teams-app-preview-or-web-app) or example code we [provide on GitHub](https://go.microsoft.com/fwlink/?linkid=2244395). This app deploys using Azure app service, and provides a user interface for sending queries. This app can be used with Azure OpenAI models that use your data, or models that don't use your data. See the readme file in the repo for instructions on requirements, setup, and deployment. You can optionally customize the [frontend and backend logic](../how-to/use-web-app.md#customizing-the-application-using-environment-variables) of the web app by making changes to the source code.

@@ -38,6 +38,3 @@ export SPRING_AI_AZURE_COGNITIVE_SEARCH_API_KEY=REPLACE_WITH_YOUR_AZURE_SEARCH_R
 export SPRING_AI_AZURE_COGNITIVE_SEARCH_INDEX=REPLACE_WITH_YOUR_INDEX_NAME_HERE
 export SPRING_AI_AZURE_OPENAI_MODEL=REPLACE_WITH_YOUR_MODEL_NAME_HERE
 ```
-
-> [!div class="nextstepaction"]
-> [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=SPRING&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Set-up)

@@ -389,5 +389,3 @@ Prompt created 1 generated response(s).
 Generated response from "assistant": The available health plans in the Contoso Electronics plan and benefit packages are the Northwind Health Plus and Northwind Standard plans.
 ```
 
-> [!div class="nextstepaction"]
-> [I ran into an issue when running the code samples.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=SPRING&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Create-spring-application)

@@ -51,7 +51,7 @@ The following sections provide you with a quick guide to the default quotas and
 | GPT-4o max images per request (# of images in the messages array/conversation history) | 50 |
 | GPT-4 `vision-preview` & GPT-4 `turbo-2024-04-09` default max tokens | 16 <br><br> Increase the `max_tokens` parameter value to avoid truncated responses. GPT-4o max tokens defaults to 4096. |
 | Max number of custom headers in API requests<sup>1</sup> | 10 |
-| Max number requests per minute<br/><br/>Current rate limits for real time audio (`gpt-4o-realtime-preview`) are defined as the number of new websocket connections per minute. For example, 6 request per minute (RPM) means 6 new connections per minute. At this time, the usage limits for `gpt-4o-realtime-preview` are suitable for test and development. | 6 new connections per minute |
+| Max number requests per minute<br/><br/>Current rate limits for real time audio (`gpt-4o-realtime-preview`) are defined as the number of new websocket connections per minute. For example, 100 requests per minute (RPM) means 100 new connections per minute. | 100 new connections per minute |
 
 <sup>1</sup> Our current APIs allow up to 10 custom headers, which are passed through the pipeline, and returned. Some customers now exceed this header count resulting in HTTP 431 errors. There's no solution for this error, other than to reduce header volume. **In future API versions we will no longer pass through custom headers**. We recommend customers not depend on custom headers in future system architectures.
 

@@ -9,7 +9,7 @@ ms.date: 10/3/2024
 author: eric-urban
 ms.author: eur
 ms.custom: references_regions, ignite-2024
-zone_pivot_groups: openai-studio-js
+zone_pivot_groups: openai-portal-js
 recommendations: false
 ---
 
@@ -58,7 +58,7 @@ Now that you have a deployment of the `gpt-4o-realtime-preview` model, you can i
 > [!TIP]
 > Right now, the fastest way to get started development with the GPT-4o Realtime API is to download the sample code from the [Azure OpenAI GPT-4o real-time audio repository on GitHub](https://github.com/azure-samples/aoai-realtime-audio-sdk).
 
-::: zone pivot="programming-language-ai-studio"
+::: zone pivot="ai-foundry-portal"
 
 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:
 

@@ -2,7 +2,6 @@
 title: 'Use your own data with Azure OpenAI Service'
 titleSuffix: Azure OpenAI
 description: Use this article to import and use your data in Azure OpenAI.
-#services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: devx-track-dotnet, devx-track-extended-java, devx-track-js, devx-track-ts, devx-track-go, devx-track-python
@@ -18,8 +17,7 @@ zone_pivot_groups: openai-use-your-data
 
 In this quickstart, you can use your own data with Azure OpenAI models. Using Azure OpenAI's models on your data can provide you with a powerful conversational AI platform that enables faster and more accurate communication.
 
-::: zone pivot="programming-language-studio"
-
+::: zone pivot="ai-foundry-portal"
 
 ## Prerequisites
 
@@ -31,9 +29,6 @@ The following resources:
     - Be sure that you're assigned at least the [Cognitive Services Contributor](./how-to/role-based-access-control.md#cognitive-services-contributor) role for the Azure OpenAI resource.
 - Download the example data from [GitHub](https://github.com/Azure-Samples/cognitive-services-sample-data-files/blob/master/openai/contoso_benefits_document_example.pdf) if you don't have your own data.
 
-> [!div class="nextstepaction"]
-> [I ran into an issue with the prerequisites.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=OVERVIEW&Pillar=AOAI&Product=ownData&Page=quickstart&Section=Prerequisites)
-
 
 [!INCLUDE [Connect your data to OpenAI](includes/connect-your-data-studio.md)]
 

@@ -144,7 +144,7 @@ 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](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 [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.**