@@ -9,6 +9,9 @@ items:
     href: overview.md
   - name: Which model should I choose?
     href: concept/choose-model-feature.md
+  - name: Create a Document Intelligence resource
+    displayName: endpoint, key, portal
+    href:  how-to-guides/create-document-intelligence-resource.md  
   - name: Document Intelligence Studio
     displayName: get started
     href: studio-overview.md
@@ -138,9 +141,9 @@ items:
   - name: Custom model lifecycle
     displayName: custom, train, modelId, model ID, expiration, train, build
     href: train/custom-lifecycle.md
-- name: Features
+- name: Add-on features
   items:
-  - name: Add-on capabilities
+  - name: Enhanced capabilities
     displayName: extract, formula, font, styles, fontStyle, ocr.highResolution, ocr.formula, high resolution, background color, inline, display
     href: concept-add-on-capabilities.md
   - name: Query field extraction
@@ -176,9 +179,6 @@ items:
   - name: Use Document Intelligence models
     displayName: documentAnalysisClient, document analysis client, polygon, boundingPolygon, begin_analyze_document,ormRecognizerClient, Document Intelligence client, boundingBox, box, begin_recognize, v2.1
     href: how-to-guides/use-sdk-rest-api.md
-  - name: Create a Document Intelligence resource
-    displayName: endpoint, key, portal
-    href:  how-to-guides/create-document-intelligence-resource.md
   - name: 🆕 Build and train a custom generative model
     displayName: ai studio, neural, template, custom
     href: how-to-guides/build-train-custom-generative-model.md

@@ -134,6 +134,11 @@
             "source_path_from_root": "/articles/ai-studio/how-to/evaluate-flow-results.md",
             "redirect_url": "/azure/ai-studio/how-to/evaluate-results",
             "redirect_document_id": true
+        },
+        {
+            "source_path_from_root": "/articles/ai-studio/ai-services/get-started.md",
+            "redirect_url": "/azure/ai-studio/ai-services/connect-ai-services",
+            "redirect_document_id": false
         }
     ]
 }
\ No newline at end of file

@@ -16,7 +16,7 @@ author: eric-urban
 
 # Connect AI services to your hub in Azure AI Studio
 
-You can try out AI services for free in Azure AI Studio as described in the [getting started with AI services](get-started.md) article. This article describes how to use AI services connections to do more via Azure AI Studio, SDKs, and APIs. 
+You can try out AI services for free in Azure AI Studio via model catalog cards and playground experiences. This article describes how to use AI services connections to do more via Azure AI Studio, SDKs, and APIs. 
 
 After you create a hub with AI services, you can use the AI services connection via the AI Studio UI, APIs, and SDKs. For example, you can try out AI services via **Home** > **AI Services** in the AI Studio UI as shown here.
 

@@ -1,47 +0,0 @@
----
-title: Get started with AI services in Azure AI Studio
-titleSuffix: Azure AI Studio
-description: This article describes how to get started with AI services in Azure AI Studio.
-manager: scottpolly
-ms.service: azure-ai-studio
-ms.custom:
-  - build-2024
-ms.topic: how-to
-ms.date: 5/21/2024
-ms.reviewer: eur
-ms.author: eur
-author: eric-urban
----
-
-# Get started with AI services in Azure AI Studio
-
-This article describes how to get started with AI services in [Azure AI Studio](https://ai.azure.com). You can connect to AI services in Azure AI Studio to use AI capabilities such as Azure OpenAI, Speech, Language, Translator, Vision, Document Intelligence, and Content Safety.
-
-Go to the **Home** page and then select **AI Services** from the left pane to explore these services.
-
-:::image type="content" source="../media/ai-services/ai-services-home.png" alt-text="Screenshot of the AI Services page in Azure AI Studio." lightbox="../media/ai-services/ai-services-home.png":::
-
-## Azure AI services in Azure AI Studio
-
-Azure AI services in Azure AI Studio provide a wide range of AI capabilities to help you build intelligent applications. You can use these services to perform a variety of tasks, such as natural language processing, computer vision, speech recognition, and translation.
-
-Azure AI Studio supports the following AI services:
-
-| Service | Description |
-| --- | --- |
-| ![Azure OpenAI Service icon](~/reusable-content/ce-skilling/azure/media/ai-services/azure-openai.svg) [Azure OpenAI](../../ai-services/openai/index.yml) | Perform a wide variety of natural language tasks.<br/><br/>You can connect to Azure OpenAI in several ways in Azure AI Studio. You can use Azure OpenAI in the [assistants playground](../quickstarts/assistants.md) to create and test your own AI assistant. You can also use Azure OpenAI when you [get started building a chat app using the prompt flow SDK](../quickstarts/get-started-code.md).  |
-| ![Content Safety icon](~/reusable-content/ce-skilling/azure/media/ai-services/content-safety.svg) [Content Safety](../../ai-services/content-safety/index.yml) | An AI service that detects unwanted contents.<br/><br/>Go to **Home** > **AI Services** > **Content Safety**. |
-| ![Document Intelligence icon](~/reusable-content/ce-skilling/azure/media/ai-services/document-intelligence.svg) [Document Intelligence](../../ai-services/document-intelligence/index.yml) | Turn documents into intelligent data-driven solutions.<br/><br/>Go to **Home** > **AI Services** > **Vision + Document**. |
-| ![Face icon](~/reusable-content/ce-skilling/azure/media/ai-services/face.svg) [Face](../../ai-services/computer-vision/overview-identity.md) | Detect and identify people and emotions in images.<br/><br/>Go to **Home** > **AI Services** > **Vision + Document**. |
-| ![Language icon](~/reusable-content/ce-skilling/azure/media/ai-services/language.svg) [Language](../../ai-services/language-service/index.yml) | Build apps with industry-leading natural language understanding capabilities.<br/><br/>Go to **Home** > **AI Services** > **Language + Translator**. |
-| ![Speech icon](~/reusable-content/ce-skilling/azure/media/ai-services/speech.svg) [Speech](../../ai-services/speech-service/index.yml) | Give your apps the ability to hear, understand, and even talk to your customers with features like speech to text and text to speech.<br/><br/>Go to **Home** > **AI Services** > **Speech**.<br/><br/>You can also try speech to text and text to speech capabilities in the Azure AI Studio playground. For more information, see [Real-time speech to text](../../ai-services/speech-service/get-started-speech-to-text.md?context=/azure/ai-studio/context/context), and [Pronunciation assessment](../../ai-services/speech-service/pronunciation-assessment-tool.md?context=/azure/ai-studio/context/context). |
-| ![Translator icon](~/reusable-content/ce-skilling/azure/media/ai-services/translator.svg) [Translator](../../ai-services/translator/index.yml) | Use AI-powered translation technology to translate more than 100 in-use, at-risk, and endangered languages and dialects.<br/><br/>Go to **Home** > **AI Services** > **Language + Translator**. |
-| ![Vision icon](~/reusable-content/ce-skilling/azure/media/ai-services/vision.svg) [Vision](../../ai-services/computer-vision/index.yml) | Analyze content in images and videos.<br/><br/>Go to **Home** > **AI Services** > **Vision + Document**. |
-
-For information about more AI services, see the [Azure AI services documentation](../../ai-services/index.yml).
-
-## Related content
-
-- [What are Azure AI services?](../../ai-services/what-are-ai-services.md?context=/azure/ai-studio/context/context)
-- [Azure AI Studio hubs](../concepts/ai-resources.md)
-- [Connections in Azure AI Studio](../concepts/connections.md)

@@ -83,7 +83,7 @@ Follow the [Quickstart: Direct web traffic using the portal](/azure/application-
     > - If you are using HTTPS listener with certificate uploaded, make sure the FQDN alias matches with the certificate's CN (Common Name) or SAN (Subject Alternative Name) otherwise HTTPS call will fail with SNI (Server Name Indication).
     > - The provided FQDNs must have at least three labels in the name to properly create the private DNS zone of thee private endpoint for Application Gateway.
     > - The FQDNs field is editable after the private endpoint creation through SDK or CLI. The field is not editable in the Azure portal.
-    > - Dyname sub-resource naming is not supported for the private Frontend IP configuration. The Frontend IP name must be `appGwPrivateFrontendIpIPv4`.
+    > - Dynamic sub-resource naming is not supported for the private Frontend IP configuration. The Frontend IP name must be `appGwPrivateFrontendIpIPv4`.
 
 ### Configure using Python SDK and Azure CLI
 
@@ -109,4 +109,4 @@ For errors related to the Application Gateway connection to your backend resourc
 
 ## Related content
 
-- [Managed virtual network isolation](configure-managed-network.md)
\ No newline at end of file
+- [Managed virtual network isolation](configure-managed-network.md)

@@ -6,7 +6,7 @@ manager: scottpolly
 ms.service: azure-ai-studio
 ms.custom: references_regions, build-2024
 ms.topic: conceptual
-ms.date: 5/21/2024
+ms.date: 10/29/2024
 ms.reviewer: shubhirajMsft
 ms.author: scottpolly
 author: s-polly
@@ -16,6 +16,9 @@ author: s-polly
 
 This article describes how the data that you provide is processed, used, and stored when you deploy models from the model catalog. Also see the [Microsoft Products and Services Data Protection Addendum](https://aka.ms/DPA), which governs data processing by Azure services.
 
+> [!IMPORTANT]
+> For information about responsible AI in Azure OpenAI and AI services, see [Responsible use of AI](../../ai-services/responsible-use-of-ai-overview.md?context=/azure/ai-studio/context/context).
+
 ## What data is processed for models deployed in Azure AI Studio?
 
 When you deploy models in Azure AI Studio, the following types of data are processed to provide the service:

@@ -9,8 +9,8 @@ ms.custom:
 ms.topic: how-to
 ms.date: 5/21/2024
 ms.reviewer: chenlujiao
-ms.author: sgilley
-author: sdgilley
+ms.author: lagayhar  
+author: lgayhardt
 ---
 
 # How to trace your application with prompt flow SDK | Azure AI Studio

@@ -37,20 +37,19 @@ The CXRReportGen model combines a radiology-specific image encoder with a large
 
 ## Prerequisites
 
-[!INCLUDE [shared-ai-studio-and-azure-ml-articles](../../includes/shared-ai-studio-and-azure-ml-articles.md)]
-
-To use CXRReportGen model with Azure AI Studio or Azure Machine Learning studio, you need the following prerequisites:
+To use the CXRReportGen model, you need the following prerequisites:
 
 ### A model deployment
 
 **Deployment to a self-hosted managed compute**
 
-CXRReportGen model can be deployed to our self-hosted managed inference solution, which allows you to customize and control all the details about how the model is served. You can deploy the model through the model catalog UI or programmatically.
+CXRReportGen model can be deployed to our self-hosted managed inference solution, which allows you to customize and control all the details about how the model is served. You can deploy the model through the catalog UI (in [AI Studio](https://aka.ms/healthcaremodelstudio) or [Azure Machine Learning studio](https://ml.azure.com/model/catalog)) or deploy programmatically.
 
 To __deploy the model through the UI__:
 
-1. Go to the [model card in the catalog](https://aka.ms/cxrreportgenmodelcard). 
-1. On the model's overview page, select __Deploy__. 
+1. Go to the catalog.
+1. Search for _CxrReportGen_ and select the model card.
+1. On the model's overview page, select __Deploy__.
 1. If given the option to choose between serverless API deployment and deployment using a managed compute, select **Managed Compute**.
 1. Fill out the details in the deployment window.
 

@@ -35,19 +35,18 @@ An embedding model is capable of serving as the basis of many different solution
 
 ## Prerequisites
 
-[!INCLUDE [shared-ai-studio-and-azure-ml-articles](../../includes/shared-ai-studio-and-azure-ml-articles.md)]
-
-To use MedImageInsight models with Azure AI Studio or Azure Machine Learning studio, you need the following prerequisites:
+To use the MedImageInsight model, you need the following prerequisites:
 
 ### A model deployment
 
 **Deployment to a self-hosted managed compute**
 
-MedImageInsight model can be deployed to our self-hosted managed inference solution, which allows you to customize and control all the details about how the model is served. You can deploy the model through the model catalog UI or programmatically.
+MedImageInsight model can be deployed to our self-hosted managed inference solution, which allows you to customize and control all the details about how the model is served. You can deploy the model through the catalog UI (in [AI Studio](https://aka.ms/healthcaremodelstudio) or [Azure Machine Learning studio](https://ml.azure.com/model/catalog)) or deploy programmatically.
 
 To __deploy the model through the UI__:
 
-1. Go to the [model card in the catalog](https://aka.ms/mi2modelcard). 
+1. Go to the catalog.
+1. Search for _MedImageInsight_ and select the model card.
 1. On the model's overview page, select __Deploy__. 
 1. If given the option to choose between serverless API deployment and deployment using a managed compute, select **Managed Compute**.
 1. Fill out the details in the deployment window.

@@ -38,20 +38,19 @@ Remarkably, the segmentation masks and textual descriptions were achieved by usi
 
 ## Prerequisites
 
-[!INCLUDE [shared-ai-studio-and-azure-ml-articles](../../includes/shared-ai-studio-and-azure-ml-articles.md)]
-
-To use MedImageParse model with Azure AI Studio or Azure Machine Learning studio, you need the following prerequisites:
+To use the MedImageParse model, you need the following prerequisites:
 
 ### A model deployment
 
 **Deployment to a self-hosted managed compute**
 
-MedImageParse model can be deployed to our self-hosted managed inference solution, which allows you to customize and control all the details about how the model is served. You can deploy the model through the model catalog UI or programmatically. 
+MedImageParse model can be deployed to our self-hosted managed inference solution, which allows you to customize and control all the details about how the model is served. You can deploy the model through the catalog UI (in [AI Studio](https://aka.ms/healthcaremodelstudio) or [Azure Machine Learning studio](https://ml.azure.com/model/catalog)) or deploy programmatically.
 
 To __deploy the model through the UI__:
 
-1. Go to the [model card in the catalog](https://aka.ms/medimageparsemodelcard). 
-1. On the model's overview page, select __Deploy__. 
+1. Go to the catalog.
+1. Search for _MedImageParse_ and select the model card.
+1. On the model's overview page, select __Deploy__.
 1. If given the option to choose between serverless API deployment and deployment using a managed compute, select **Managed Compute**.
 1. Fill out the details in the deployment window.
 

@@ -26,9 +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](../model-catalog-overview.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. 
-
-[!INCLUDE [shared-ai-studio-and-azure-ml-articles](../../includes/shared-ai-studio-and-azure-ml-articles.md)]
+The Azure AI model catalog available in [AI Studio](../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
 

@@ -1,13 +0,0 @@
----
-title: include file
-description: include file
-author: msakande
-ms.author: mopeakande
-ms.service: azure-ai-studio
-ms.topic: include
-ms.date: 10/21/2024
-ms.custom: include file
----
-
-> [!NOTE]
-> This article applies to both [Azure AI Studio](https://ai.azure.com/) and [Azure Machine Learning studio](https://ml.azure.com/). To learn more about the differences between these two products and which one to use, see [AI Studio or Azure Machine Learning: Which experience should I choose?](/ai/ai-studio-experiences-overview).
\ No newline at end of file

@@ -14,7 +14,7 @@ items:
     href: faq.yml
   - name: What is Azure OpenAI?
     href: ../ai-services/openai/overview.md?context=/azure/ai-studio/context/context
-  - name: "AI Studio or Azure Machine Learning studio: Which should I choose?"
+  - name: Which studio should I choose?
     href: /ai/ai-studio-experiences-overview?context=/azure/ai-studio/context/context
 - name: Quickstarts
   items:
@@ -47,70 +47,42 @@ items:
 - name: How-to
   expanded: true
   items:
-  - name: Create hubs and projects
+  - name: Azure OpenAI and AI services
     items:
-    - name: Hubs and projects overview
-      href: concepts/ai-resources.md
-    - name: Create your first hub
-      href: how-to/create-azure-ai-resource.md
-    - name: Create a hub using the Azure Machine Learning SDK and CLI
-      href: how-to/develop/create-hub-project-sdk.md
-    - name: Create a hub with custom security
+    - name: What is Azure OpenAI?
+      href: ../ai-services/openai/overview.md?context=/azure/ai-studio/context/context
+      displayName: cognitive
+    - name: What are AI services?
+      href: ../ai-services/what-are-ai-services.md?context=/azure/ai-studio/context/context
+    - name: Azure OpenAI
       items:
-      - name: Create a hub in the Azure portal
-        href: how-to/create-secure-ai-hub.md
-      - name: Create a hub from template
-        href: how-to/create-azure-ai-hub-template.md
-        displayName: code
-      - name: Create a hub using Terraform
-        href: how-to/create-hub-terraform.md
-    - name: Create a project
-      href: how-to/create-projects.md
-    - name: Create and manage compute
-      href: how-to/create-manage-compute.md
-  - name: Connect to services and resources
-    items:
-    - name: Connections overview
-      href: concepts/connections.md
-    - name: Create a connection
-      href: how-to/connections-add.md
-    - name: Create a connection using the Azure Machine Learning SDK
-      href: how-to/develop/connections-add-sdk.md
-      displayName: code
-    - name: Azure AI services connections
+      - name: Deploy Azure OpenAI models
+        href: how-to/deploy-models-openai.md
+      - name: Fine-tune Azure OpenAI models
+        href: ../ai-services/openai/how-to/fine-tuning.md?context=/azure/ai-studio/context/context
+      - name: Get started with Assistants and code interpreter in the playground
+        href: ../ai-services/openai/assistants-quickstart.md?context=/azure/ai-studio/context/context
+      - name: Analyze images and video with GPT-4 for Vision in the playground
+        href: quickstarts/multimodal-vision.md
+      - name: Use your image data with Azure OpenAI
+        href: how-to/data-image-add.md
+        displayName: vision, gpt, turbo
+    - name: Azure AI Content Safety
       items:
-      - name: What are AI services?
-        href: ../ai-services/what-are-ai-services.md?context=/azure/ai-studio/context/context
-        displayName: cognitive
-      - name: Get started with AI services in AI Studio
-        href: ai-services/get-started.md
-      - name: Connect AI services in AI Studio
-        href: ai-services/connect-ai-services.md
-      - name: Azure OpenAI
-        items:
-        - name: Get started with Assistants and code interpreter in the playground
-          href: ../ai-services/openai/assistants-quickstart.md?context=/azure/ai-studio/context/context
-        - name: Analyze images and video with GPT-4 for Vision in the playground
-          href: quickstarts/multimodal-vision.md
-        - name: Use your image data with Azure OpenAI
-          href: how-to/data-image-add.md
-          displayName: vision, gpt, turbo
-      - name: Azure AI Content Safety
-        items:
-        - name: Content filtering
-          href: concepts/content-filtering.md
-        - name: Prevent input attacks with Prompt Shields
-          href: how-to/prompt-shields.md
-        - name: Detect groundedness in chat responses
-          href: how-to/groundedness.md
-      - name: Speech
-        items:
-        - name: Real-time speech to text
-          href: ../ai-services/speech-service/get-started-speech-to-text.md?context=/azure/ai-studio/context/context
-        - name: Pronunciation assessment
-          href: ../ai-services/speech-service/pronunciation-assessment-tool.md?context=/azure/ai-studio/context/context
-        - name: Hear and speak with chat in the playground
-          href: quickstarts/hear-speak-playground.md
+      - name: Content filtering
+        href: concepts/content-filtering.md
+      - name: Prevent input attacks with Prompt Shields
+        href: how-to/prompt-shields.md
+      - name: Detect groundedness in chat responses
+        href: how-to/groundedness.md
+    - name: Speech
+      items:
+      - name: Real-time speech to text
+        href: ../ai-services/speech-service/get-started-speech-to-text.md?context=/azure/ai-studio/context/context
+      - name: Pronunciation assessment
+        href: ../ai-services/speech-service/pronunciation-assessment-tool.md?context=/azure/ai-studio/context/context
+      - name: Hear and speak with chat in the playground
+        href: quickstarts/hear-speak-playground.md
   - name: Explore and select AI models
     items:
     - name: Model catalog
@@ -125,7 +97,7 @@ items:
       href: concepts/concept-model-distillation.md
     - name: Azure OpenAI models
       items:
-      - name: Azure OpenAI models
+      - name: Deploy Azure OpenAI models
         href: how-to/deploy-models-openai.md
       - name: Fine-tune Azure OpenAI models
         href: ../ai-services/openai/how-to/fine-tuning.md?context=/azure/ai-studio/context/context
@@ -212,6 +184,38 @@ items:
       - name: Managed compute
         href: how-to/deploy-models-managed.md
         displayName: endpoint, online, SDK, CLI
+  - name: Create hubs and projects
+    items:
+    - name: Hubs and projects overview
+      href: concepts/ai-resources.md
+    - name: Create your first hub
+      href: how-to/create-azure-ai-resource.md
+    - name: Create a hub using the Azure Machine Learning SDK and CLI
+      href: how-to/develop/create-hub-project-sdk.md
+    - name: Create a hub with custom security
+      items:
+      - name: Create a hub in the Azure portal
+        href: how-to/create-secure-ai-hub.md
+      - name: Create a hub from template
+        href: how-to/create-azure-ai-hub-template.md
+        displayName: code
+      - name: Create a hub using Terraform
+        href: how-to/create-hub-terraform.md
+    - name: Create a project
+      href: how-to/create-projects.md
+    - name: Create and manage compute
+      href: how-to/create-manage-compute.md
+  - name: Connect to services and resources
+    items:
+    - name: Connections overview
+      href: concepts/connections.md
+    - name: Create a connection
+      href: how-to/connections-add.md
+    - name: Create a connection using the Azure Machine Learning SDK
+      href: how-to/develop/connections-add-sdk.md
+    - name: Connect AI services in AI Studio
+      href: ai-services/connect-ai-services.md
+      displayName: code
   - name: Data for your generative AI app
     items:
     - name: Overview of retrieval augmented generation (RAG)