Merge pull request #2797 from MicrosoftDocs/main

2/6/2025 PM Publish

Author: Taojunshen

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

@@ -2,7 +2,7 @@
 title: Use Content Safety in Azure AI Foundry portal
 titleSuffix: Azure AI services
 description: Learn how to use the Content Safety try it out page in Azure AI Foundry portal to experiment with various content safety features such as text and image content, using adjustable thresholds to filter for inappropriate or harmful content.
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2024
 ms.topic: how-to

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

@@ -6,7 +6,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: overview
-ms.date: 11/19/2024
+ms.date: 02/06/2025
 ms.author: lajanuar
 monikerRange: '<=doc-intel-4.0.0'
 ---
@@ -41,7 +41,7 @@ monikerRange: '<=doc-intel-4.0.0'
 
 :::moniker-end
 
-Azure AI Document Intelligence is a cloud-based [Azure AI service](../../ai-services/index.yml) that enables you to build intelligent document processing solutions. Massive amounts of data, spanning a wide variety of data types, are stored in forms and documents. Document Intelligence enables you to effectively manage the velocity at which data is collected and processed and is key to improved operations, informed data-driven decisions, and enlightened innovation. </br></br>
+Azure AI Document Intelligence is a cloud-based [Azure AI service](../../ai-services/index.yml) that enables you to build intelligent document processing solutions. Massive amounts of data, spanning a wide variety of data types, are stored in forms and documents. Document Intelligence enables you to effectively manage the velocity at which data is collected and processed and is key to improved operations, informed data-driven decisions, and enlightened innovation.</br></br>For information on region access, *see* Azure AI Services [Product Availability by Region](https://azure.microsoft.com/explore/global-infrastructure/products-by-region/table).</br></br>
 
 | ✔️ [**Document analysis models**](#document-analysis-models) | ✔️ [**Prebuilt models**](#prebuilt-models) | ✔️ [**Custom models**](#custom-model-overview) |
 

articles/ai-services/document-intelligence/toc.yml

@@ -5,7 +5,7 @@ items:
   expanded: true
   items:
   - name: What is Azure AI Document Intelligence?
-    displayName: models, develop, development, cognitive, applied, form recognizer, form, recognizer
+    displayName: models, develop, development, cognitive, applied, form recognizer, form, recognizer, region availability, regional availability
     href: overview.md
   - name: What's new
     displayName: changelog, release, updates, previews, beta, packages, ga, cognitive, applied, form recognizer, form, recognizer

articles/ai-services/openai/gpt-v-quickstart.md

@@ -20,7 +20,7 @@ Get started using GPT-4 Turbo with images with the Azure OpenAI Service.
 > [!NOTE]
 > **Model choice**
 >
-> 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`.
+> The latest vision-capable models are `gpt-4o` and `gpt-4o mini`. These models are in public preview. The latest available GA model is `gpt-4` version `turbo-2024-04-09`.
 
 ::: zone pivot="ai-foundry-portal"
 
@@ -60,6 +60,7 @@ Get started using GPT-4 Turbo with images with the Azure OpenAI Service.
 
 ## Next steps
 
+* [Get started with multimodal vision chat apps using Azure OpenAI](/azure/developer/ai/get-started-app-chat-vision?tabs=github-codespaces) AI App template
 * Learn more about these APIs in the [Vision-enabled models how-to guide](./gpt-v-quickstart.md)
 * [GPT-4 Turbo with Vision frequently asked questions](./faq.yml#gpt-4-turbo-with-vision)
 * [GPT-4 Turbo with Vision API reference](https://aka.ms/gpt-v-api-ref)

articles/ai-studio/ai-services/content-safety-overview.md

@@ -3,7 +3,7 @@ title: Content Safety in Azure AI Foundry portal overview
 titleSuffix: Azure AI Foundry
 description: Learn how to use Azure AI Content Safety in Azure AI Foundry portal to detect harmful user-generated and AI-generated content in applications and services.
 manager: nitinme
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2024
 ms.topic: overview

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

@@ -3,7 +3,7 @@ title: Manage, collaborate, and organize with hubs
 titleSuffix: Azure AI Foundry
 description: This article introduces concepts about Azure AI Foundry hubs for your Azure AI Foundry projects.
 manager: scottpolly
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2023
   - build-2024

articles/ai-studio/concepts/architecture.md

@@ -3,7 +3,7 @@ title: Azure AI Foundry architecture
 titleSuffix: Azure AI Foundry
 description: Learn about the architecture of Azure AI Foundry.
 manager: scottpolly
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.custom:
   - build-2024
   - ignite-2024

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

@@ -3,7 +3,7 @@ title: Azure AI Foundry content filtering
 titleSuffix: Azure AI Foundry
 description: Learn about the content filtering capabilities of Azure OpenAI in Azure AI Foundry portal.
 manager: nitinme
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2023
   - build-2024

articles/ai-studio/concepts/management-center.md

@@ -4,7 +4,7 @@ titleSuffix: Azure AI Foundry
 description: "The management center in Azure AI Foundry portal provides a centralized hub for governance and management activities."
 author: Blackmist
 ms.author: larryfr
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2024
 ms.topic: concept-article #Don't change.

articles/ai-studio/concepts/model-lifecycle-retirement.md

@@ -3,9 +3,9 @@ title: Deprecation and retirement for models in Azure AI model catalog
 titleSuffix: Azure AI Foundry
 description: Learn about the lifecycle stages, deprecation, and retirement for models in the Azure AI model catalog.
 manager: scottpolly
-ms.service: azure-ai-studio
+ms.service: azure-ai-foundry
 ms.topic: concept-article
-ms.date: 1/14/2025
+ms.date: 02/03/2025
 ms.author: mopeakande
 author: msakande
 ms.reviewer: kritifaujdar
@@ -67,6 +67,7 @@ The following table lists the timelines for models that are on track for retirem
 
 | Model provider | Model | Legacy date (UTC) | Deprecation date (UTC) | Retirement date (UTC) | Suggested replacement model |
 | ---- | ---- | ---- | --- | ---- | --- |
+| AI21 Labs | Jamba Instruct | February 1, 2025 | February 1, 2025 | March 1, 2025 | [AI21-Jamba-1.5-Large](https://ai.azure.com/explore/models/AI21-Jamba-1.5-Large/version/1/registry/azureml-ai21) or [AI21-Jamba-1.5-Mini](https://ai.azure.com/explore/models/AI21-Jamba-1.5-Mini/version/1/registry/azureml-staging) |
 | Mistral AI | [Mistral-large-2407](https://aka.ms/azureai/landing/Mistral-Large-2407) | January 13, 2025 | February 13, 2025 | May 13, 2025 | [Mistral-large-2411](https://aka.ms/aistudio/landing/Mistral-Large-2411) |
 | Mistral AI | [Mistral-large](https://aka.ms/azureai/landing/Mistral-Large) | December 15, 2024 | January 15, 2025 | April 15, 2025 | [Mistral-large-2407](https://aka.ms/azureai/landing/Mistral-Large-2407) |