Merge branch 'main' into release-maas-model-deprecation

Author: v-alje

articles/ai-services/content-safety/concepts/response-codes.md

@@ -26,7 +26,7 @@ The content APIs may return the following error codes:
 | TooManyRequests     | The current RPS has exceeded the quota for your current SKU. | Check the pricing table to understand the RPS quota.   <br/>Contact Azure Support if you need more QPS. |
 
 
-## Azure AI Studio error messages
+## Azure AI Foundry error messages
 
 If you encounter the error **Your account does not have access to this resource, please contact your resource owner to get access**, please ensure your account is assigned the role of `Cognitive Services User` for the Content Safety resource or Azure AI Services resource you are using.
 

articles/ai-services/content-safety/how-to/improve-performance.md

@@ -37,7 +37,7 @@ If your assessment confirms that you found a false positive or false negative, y
 
 #### [Content Safety standalone API](#tab/standalone-api)
 
-If you're using the Azure AI Content Safety standalone API directly, try experimenting by setting the severity threshold at different levels for [harm categories](/azure/ai-services/content-safety/concepts/harm-categories?tabs=definitions) based on API output. Alternatively, if you prefer the no-code approach, you can try out those settings in [Content Safety Studio](https://contentsafety.cognitive.azure.com/) or Azure AI Studio’s [Content Safety page](https://ai.azure.com/explore/contentsafety). Instructions can be found [here](/azure/ai-studio/quickstarts/content-safety?tabs=moderate-text-content). 
+If you're using the Azure AI Content Safety standalone API directly, try experimenting by setting the severity threshold at different levels for [harm categories](/azure/ai-services/content-safety/concepts/harm-categories?tabs=definitions) based on API output. Alternatively, if you prefer the no-code approach, you can try out those settings in [Content Safety Studio](https://contentsafety.cognitive.azure.com/) or Azure AI Foundry’s [Content Safety page](https://ai.azure.com/explore/contentsafety). Instructions can be found [here](/azure/ai-studio/quickstarts/content-safety?tabs=moderate-text-content). 
 
 In addition to adjusting the severity levels for false negatives, you can also use blocklists. More information on using blocklists for text moderation can be found in [Use blocklists for text moderation](/azure/ai-services/content-safety/how-to/use-blocklist?tabs=windows%2Crest).
 
@@ -50,13 +50,13 @@ Follow the steps in the documentation to update configurations to handle false p
 
 In addition to adjusting the severity levels for false negatives, you can also use blocklists. Detailed instruction can be found in [How to use blocklists with Azure OpenAI Service](/azure/ai-services/openai/how-to/use-blocklists).
 
-#### [Azure AI Studio](#tab/azure-ai-studio)
+#### [Azure AI Foundry](#tab/azure-ai-studio)
 
 Read the [Configurability](/azure/ai-studio/concepts/content-filtering#configurability-preview) documentation, as some content filtering configurations may require approval through the process mentioned there.
 
-Follow the steps in the documentation to update configurations to handle false positives or negatives: [Azure AI Studio content filtering](/azure/ai-studio/concepts/content-filtering#create-a-content-filter).
+Follow the steps in the documentation to update configurations to handle false positives or negatives: [Azure AI Foundry content filtering](/azure/ai-studio/concepts/content-filtering#create-a-content-filter).
 
-In addition to adjusting the severity levels for false negatives, you can also use blocklists. Detailed instruction can be found in [Azure AI Studio content filtering](/azure/ai-studio/concepts/content-filtering#use-a-blocklist-as-a-filter).
+In addition to adjusting the severity levels for false negatives, you can also use blocklists. Detailed instruction can be found in [Azure AI Foundry content filtering](/azure/ai-studio/concepts/content-filtering#use-a-blocklist-as-a-filter).
 
 ---
 

articles/ai-services/document-intelligence/how-to-guides/build-train-custom-generative-model.md

@@ -1,7 +1,7 @@
 ---
-title: Use AI Studio to build and train an Azure AI Document Intelligence custom generative model
+title: Use AI Foundry to build and train an Azure AI Document Intelligence custom generative model
 titleSuffix: Azure AI services
-description: How to build and train a custom generative AI model with AI Studio to extract user-specified fields from documents across a wide variety of visual templates.
+description: How to build and train a custom generative AI model with AI Foundry to extract user-specified fields from documents across a wide variety of visual templates.
 author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
@@ -11,9 +11,9 @@ ms.author: lajanuar
 monikerRange: '>=doc-intel-4.0.0'
 ---
 
-# Build and train a custom generative model with AI Studio
+# Build and train a custom generative model with AI Foundry
 
-In this article, learn to build and train a custom generative model with Azure AI Studio. Document Intelligence custom models require as few as five training documents to get started. Do you have at least five documents? If so,  let's get started training and testing the custom generative model.
+In this article, learn to build and train a custom generative model with Azure AI Foundry. Document Intelligence custom models require as few as five training documents to get started. Do you have at least five documents? If so,  let's get started training and testing the custom generative model.
 
 ## Prerequisites
 
@@ -61,9 +61,9 @@ Follow these tips to optimize your data set for training:
 
 Once you have your Azure blob storage containers, upload your training data to your source containers. Now you're ready to train your custom generative model.
 
-## Azure AI Studio
+## Azure AI Foundry
 
-1. Navigate to the [Azure AI Studio](https://ai.azure.com/?tid=72f988bf-86f1-41af-91ab-2d7cd011db47). The first time you use the Studio, you need to [initialize your subscription and create a hub](../../../ai-studio/how-to/create-azure-ai-resource.md) before creating a project. Custom generative models are only available in East US and North Central US in preview. Ensure your resource group is set to East US or North Central US during hub creation.
+1. Navigate to the [Azure AI Foundry](https://ai.azure.com/?tid=72f988bf-86f1-41af-91ab-2d7cd011db47). The first time you use the Studio, you need to [initialize your subscription and create a hub](../../../ai-studio/how-to/create-azure-ai-resource.md) before creating a project. Custom generative models are only available in East US and North Central US in preview. Ensure your resource group is set to East US or North Central US during hub creation.
 
 1. Select the Vision + Document tile.
 
@@ -73,7 +73,7 @@ Once you have your Azure blob storage containers, upload your training data to y
 
     :::image type="content" source="../media/custom-generative-model/start-document-field-extraction.png" alt-text="Screenshot of the create document field extraction project page.":::
 
-1. Create your project. For more information, *see* [Create a project in Azure AI Studio](../../../ai-studio/how-to/create-projects.md).
+1. Create your project. For more information, *see* [Create a project in Azure AI Foundry portal](../../../ai-studio/how-to/create-projects.md).
 
 1. Create an Azure AI services connection to access Azure Document Intelligence service:
 
@@ -128,7 +128,7 @@ Select **`Build`** to initiate the training process. Generative models train i
 
 * Validate your model accuracy by evaluating the results for each field.
 
-That's it! You learned to train a custom generative model in the Azure AI Studio. Your model is ready for use with the REST API or the SDK to analyze documents.
+That's it! You learned to train a custom generative model in the Azure AI Foundry portal. Your model is ready for use with the REST API or the SDK to analyze documents.
 
 ## Next steps
 

articles/ai-services/document-intelligence/includes/preview-notice.md

@@ -13,7 +13,7 @@ ms.date: 07/31/2024
 >
 > * Document Intelligence public preview releases provide early access to features that are in active development. Features, approaches, and processes may change, prior to General Availability (GA), based on user feedback.
 > * The public preview version of Document Intelligence client libraries default to REST API version [**2024-07-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-07-31-preview&preserve-view=true).
-> * Public preview version [**2024-07-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-07-31-preview&preserve-view=true) is currently only available in the following Azure regions. Note that the custom generative (document field extraction) model in AI Studio is only available in North Central US region:
+> * Public preview version [**2024-07-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-07-31-preview&preserve-view=true) is currently only available in the following Azure regions. Note that the custom generative (document field extraction) model in AI Foundry portal is only available in North Central US region:
 >   * **East US**
 >   * **West US2**
 >   * **West Europe**

articles/ai-services/document-intelligence/overview.md

@@ -556,15 +556,15 @@ You can use Document Intelligence to automate document processing in application
 
 #### Custom generative (document field extraction)
 
-:::image type="content" source="media/overview/analyze-custom-generative.png" alt-text="Screenshot of Custom generative model analysis using Azure AI Studio.":::
+:::image type="content" source="media/overview/analyze-custom-generative.png" alt-text="Screenshot of Custom generative model analysis using Azure AI Foundry.":::
 
   > [!NOTE]
-  > Custom generative model is only available in Azure AI Studio.
-  > To try out custom generative model in AI Studio, *visit* [Document field extraction (custom generative)](https://aka.ms/custom-generative)
+  > Custom generative model is only available in Azure AI Foundry portal.
+  > To try out custom generative model in AI Foundry portal, *visit* [Document field extraction (custom generative)](https://aka.ms/custom-generative)
 
 | About | Description |Automation use cases | Development options |
 |----------|--------------|-------------------------|-----------|
-|[**Custom generative model**](train/custom-generative-extraction.md)| The custom generative model is used to extract fields from unstructured documents or structured forms with a wide variety of visual templates.|The model uses Generative AI to extract fields, improve quality with only a few labeled samples and can be integrated into your processes with grounding and confidence scores.​|[**Azure AI Studio**](https://aka.ms/custom-generative)</br>&#9679; [**REST API**](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**JavaScript SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)|
+|[**Custom generative model**](train/custom-generative-extraction.md)| The custom generative model is used to extract fields from unstructured documents or structured forms with a wide variety of visual templates.|The model uses Generative AI to extract fields, improve quality with only a few labeled samples and can be integrated into your processes with grounding and confidence scores.​|[**Azure AI Foundry**](https://aka.ms/custom-generative)</br>&#9679; [**REST API**](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**JavaScript SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true)|
 
 > [!div class="nextstepaction"]
 > [Return to custom model types](#custom-models)

articles/ai-services/document-intelligence/studio-overview.md

@@ -27,19 +27,19 @@ The studio is an online tool to visually explore, understand, train, and integra
 * Train custom extraction models to extract fields from documents.
 * Get sample code for the language specific `SDKs` to integrate into your applications.
 
-Currently, we're undergoing the migration of features from the [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio) to the new [AI Studio](https://ai.azure.com/explore/aiservices/vision). There are some differences in the offerings for the two studios, which determine the correct studio for your use case.
+Currently, we're undergoing the migration of features from the [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio) to the new [AI Foundry](https://ai.azure.com/explore/aiservices/vision). There are some differences in the offerings for the two studios, which determine the correct studio for your use case.
 
 ## Choosing the correct studio experience
 
-There are currently two studios, the [Azure AI Studio](https://ai.azure.com/explore/aiservices/vision) and the [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio) for building and validating  Document Intelligence models. As the experiences migrate to the new AI Studio, some experiences are available in both studios, while other experiences/models are only available in only one of the studios. To follow are a few guidelines for choosing the Studio experience for your needs. All of our [prebuilt models](overview.md#prebuilt-models) and [general extraction models](overview.md#general-extraction-models) are available on both studios.
+There are currently two studios, the [Azure AI Foundry](https://ai.azure.com/explore/aiservices/vision) and the [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio) for building and validating  Document Intelligence models. As the experiences migrate to the new AI Foundry, some experiences are available in both studios, while other experiences/models are only available in only one of the studios. To follow are a few guidelines for choosing the Studio experience for your needs. All of our [prebuilt models](overview.md#prebuilt-models) and [general extraction models](overview.md#general-extraction-models) are available on both studios.
 
 ### When to use [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio)
 
 Document Intelligence Studio is the legacy experience that contains all features released on or before July 2024. For any of the v2.1, v3.0, v3.1 features, continue to use the Document Intelligence Studio. Studios provide a visual experience for labeling, training, and validating custom models. For custom document field extraction models, use the Document Intelligence Studio for template and neural models. Custom classification models can only be trained and used on Document Intelligence Studio. Use Document Intelligence Studio if you want to try out GA versions of the models from version 2.1, v3.0 and v3.1.
 
-### When to use [AI Studio](https://ai.azure.com/explore/aiservices/vision)
+### When to use [AI Foundry](https://ai.azure.com/explore/aiservices/vision)
 
-Start with the new Azure AI Studio and try any of the prebuilt document models from `2024-02-29-preview` version including general extraction models like Read or Layout. If you want to build and test a new [Document Field Extraction](https://ai.azure.com/explore/aiservices/vision/document/extraction) model, try our generative AI model, only available in the new AI Studio.
+Start with the new Azure AI Foundry and try any of the prebuilt document models from `2024-02-29-preview` version including general extraction models like Read or Layout. If you want to build and test a new [Document Field Extraction](https://ai.azure.com/explore/aiservices/vision/document/extraction) model, try our generative AI model, only available in the new AI Foundry.
 
 ## Learn more about Document Intelligence Studio
 
@@ -201,14 +201,14 @@ Share custom extraction projects with ease. For more information, see [Project s
 * Select **Privacy**
 * Deselect **Block all cookies**
 
-### [**AI Studio**](#tab/ai-studio)
+### [**AI Foundry**](#tab/ai-studio)
 
-Document Intelligence is part of the Azure AI services offerings in the Azure AI Studio. Each of the Azure AI services helps developers and organizations rapidly create intelligent, cutting-edge, market-ready, and responsible applications with out-of-the-box and prebuilt and customizable APIs and models.
+Document Intelligence is part of the Azure AI services offerings in the Azure AI Foundry portal. Each of the Azure AI services helps developers and organizations rapidly create intelligent, cutting-edge, market-ready, and responsible applications with out-of-the-box and prebuilt and customizable APIs and models.
 
 Learn how to [connect your AI services hub](../../ai-studio/ai-services/how-to/connect-ai-services.md) with AI services and get started using Document Intelligence.
 
 ## Next steps
 
 * Visit [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio).
-* Visit [AI Studio](https://ai.azure.com/explore/aiservices/vision).
+* Visit [AI Foundry](https://ai.azure.com/explore/aiservices/vision).
 * Get started with [Document Intelligence Studio quickstart](quickstarts/try-document-intelligence-studio.md).

articles/ai-services/document-intelligence/whats-new.md

@@ -31,7 +31,7 @@ Document Intelligence service is updated on an ongoing basis. Bookmark this page
 
 The Document Intelligence [**2024-07-31-preview**](/rest/api/aiservices/document-models?view=rest-aiservices-v4.0%20(2024-07-31-preview)&preserve-view=true) REST API is now available. This preview API introduces new and updated capabilities:
 
-* Public preview version [**2024-07-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-07-31-preview&preserve-view=true) is currently available only in the following Azure regions. The new document field extraction model in AI Studio is only available in North Central US region:
+* Public preview version [**2024-07-31-preview**](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-07-31-preview&preserve-view=true) is currently available only in the following Azure regions. The new document field extraction model in AI Foundry portal is only available in North Central US region:
 
 * **East US**
 * **West US2**

articles/ai-services/language-service/includes/use-language-studio.md

@@ -11,4 +11,4 @@ ms.custom: include, ignite-2024
 ---
 
 > [!TIP]
-> You can use [**AI Studio**](../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code. 
+> You can use [**AI Foundry**](../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code. 

articles/ai-services/language-service/personally-identifiable-information/includes/use-language-studio.md

@@ -9,4 +9,4 @@ ms.custom: include, ignite-2024
 ---
 
 > [!TIP]
-> You can use [**AI Studio**](../../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code. 
+> You can use [**AI Foundry**](../../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code.