fine tune content understanding

laujan · laujan · commit 4edd93e8d1fb · 2025-05-30T13:44:57.000-07:00
diff --git a/articles/ai-services/content-understanding/concepts/analyzer-templates.md b/articles/ai-services/content-understanding/concepts/analyzer-templates.md
@@ -27,7 +27,7 @@ The following analyzer templates are available for use in the [Azure AI Foundry
 |Document analysis |Analyze documents to extract text, layout, structured fields, and more.|
 |Invoice analysis |Analyze invoice as prebuilt template and extract structured fields and tables.|
 
-   :::image type="content" source="../media/analyzer-template/document-analyzers.png" alt-text="Screenshot of document analyzer template.":::
+   :::image type="content" source="../media/analyzer-template/document-analyzers.png" alt-text="Screenshot of document analyzer template." lightbox="../media/analyzer-template/document-analyzers.png":::
 
 # [Image](#tab/image)
 
@@ -37,7 +37,7 @@ The following analyzer templates are available for use in the [Azure AI Foundry
 |Retail inventory management |Retail inventory management for monitoring of products on shelves.|
 |Defect detection |Identify potential defects in provided images of metal plates.|
 
-   :::image type="content" source="../media/analyzer-template/image-analyzers.png" alt-text="Screenshot of image analyzer template.":::
+   :::image type="content" source="../media/analyzer-template/image-analyzers.png" alt-text="Screenshot of image analyzer template." lightbox="../media/analyzer-template/image-analyzers.png":::
 
 # [Audio](#tab/audio)
 
@@ -48,7 +48,7 @@ The following analyzer templates are available for use in the [Azure AI Foundry
 |Post call analytics |Analyze call center conversations to extract transcripts, summaries, sentiment, and more.|
 
 
-   :::image type="content" source="../media/analyzer-template/audio-analyzers.png" alt-text="Screenshot of audio analyzer template.":::
+   :::image type="content" source="../media/analyzer-template/audio-analyzers.png" alt-text="Screenshot of audio analyzer template." lightbox="../media/analyzer-template/audio-analyzers.png":::
 
 # [Video](#tab/video)
 
@@ -60,6 +60,6 @@ The following analyzer templates are available for use in the [Azure AI Foundry
 |Advertising |Advertising analysis and moderation.|
 
 
-   :::image type="content" source="../media/analyzer-template/video-analyzers.png" alt-text="Screenshot of video analyzer template.":::
+   :::image type="content" source="../media/analyzer-template/video-analyzers.png" alt-text="Screenshot of video analyzer template." lightbox="../media/analyzer-template/video-analyzers.png":::
 
 ---
diff --git a/articles/ai-services/content-understanding/index.yml b/articles/ai-services/content-understanding/index.yml
@@ -32,8 +32,11 @@ conceptualContent:
     - title: AI Foundry
       links:
         - itemType: quickstart
-          text: Quickstart
+          text: "Quickstart: Content Understanding with a single file"
           url: quickstart/use-ai-foundry.md
+        - itemType: quickstart
+          text: "Quickstart: Content Understanding with multiple files"
+          url: quickstart/use-ai-foundry-pro-mode.md  
         - itemType: concept
           text: Analyzer templates
           url: concepts/analyzer-templates.md
diff --git a/articles/ai-services/content-understanding/quickstart/use-ai-foundry-pro-mode.md b/articles/ai-services/content-understanding/quickstart/use-ai-foundry-pro-mode.md
@@ -3,15 +3,16 @@ title: "Create an Azure AI Content Understanding multi-file task in the Azure AI
 titleSuffix: Azure AI services
 description: Create an Azure AI Content Understanding multi-file task in the Azure AI Foundry portal
 author: laujan
+ms.author: kabrow
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: quickstart
 ms.date: 05/29/2025
 ---
 
-# Try out Azure AI Content Understanding on multiple files in the Azure AI Foundry portal
+# Quickstart: Use Content Understanding with multiple files
 
-This quickstart shows you how to use the Content Understanding service in the Azure AI Foundry portal to extract structured information from your data. Azure AI Foundry enables you to build and deploy generative AI applications and APIs responsibly.
+This quickstart shows you how to use the Content Understanding service in the [**Azure AI Foundry portal**](https://ai.azure.com/explore/aiservices/vision/contentunderstanding) to extract structured information from your data. Azure AI Foundry enables you to build and deploy generative AI applications and APIs responsibly.
 
 Suppose you have document files and you want to automatically extract key information from them, while also comparing to reference data to infer conclusions from your files. Using Content Understanding, you can create a task to streamline your data processing, define a field schema to specify the information to extract or generate, and develop an analyzer that applies reasoning to your data, delivering key insights and conclusions. The analyzer becomes an API endpoint that you can integrate into your applications or workflows.
 
diff --git a/articles/ai-services/content-understanding/quickstart/use-ai-foundry.md b/articles/ai-services/content-understanding/quickstart/use-ai-foundry.md
@@ -4,14 +4,15 @@ titleSuffix: Azure AI services
 description: Create an Azure AI Content Understanding single-file task in the Azure AI Foundry portal
 author: laujan
 manager: nitinme
+ms.author: kabrow
 ms.service: azure-ai-content-understanding
 ms.topic: quickstart
 ms.date: 05/19/2025
 ---
 
-# Try out Azure AI Content Understanding with a single file in the Azure AI Foundry portal
- 
-This quickstart shows you how to use the Content Understanding service in the Azure AI Foundry portal to extract structured information from your data. Azure AI Foundry enables you to build and deploy generative AI applications and APIs responsibly.
+# Quickstart: Use Content Understanding with a single file
+
+This quickstart shows you how to use the Content Understanding service in the [**Azure AI Foundry portal**](https://ai.azure.com/explore/aiservices/vision/contentunderstanding) to extract structured information from your data. Azure AI Foundry enables you to build and deploy generative AI applications and APIs responsibly.
  
 Suppose you have files—such as documents, images, audio, or video—and you want to automatically extract key information from them. With Content Understanding, you can create a task to organize your data processing, define a field schema that specifies the information to extract or generate, and then build an analyzer. The analyzer becomes an API endpoint that you can integrate into your applications or workflows.
  
diff --git a/articles/ai-services/content-understanding/quickstart/use-rest-api.md b/articles/ai-services/content-understanding/quickstart/use-rest-api.md
@@ -10,7 +10,7 @@ ms.topic: quickstart
 ms.date: 05/19/2025
 ---
 
-# Quickstart: Azure AI Content Understanding REST APIs
+# Quickstart: Use Azure AI Content Understanding REST API
 
 * This quickstart shows you how to use the [Content Understanding REST API](/rest/api/contentunderstanding/content-analyzers?view=rest-contentunderstanding-2025-05-01-preview&preserve-view=true) to get structured data from multimodal content in document, image, audio, and video files.
 
diff --git a/articles/ai-services/content-understanding/toc.yml b/articles/ai-services/content-understanding/toc.yml
@@ -26,22 +26,19 @@ items:
       - name: Glossary
         displayName: glossary, definition, updates, previews
         href: glossary.md
-  - name: "AI Foundry portal"
+  - name: Azure AI Foundry portal"
     items:
-      - name: "AI Foundry portal"
+      - name: Quickstarts
         items:
-          - name: "Quickstart: Try Content Understanding with a single file"
+          - name: Try Content Understanding with a single file"
             displayName: quickstart, extract, text, images, OCR, optical character recognition, foundry, standard, mode
             href: quickstart/use-ai-foundry.md
-          - name: "Quickstart: Try Content Understanding with multiple files"
+          - name: Try Content Understanding with multiple files"
             displayName: quickstart, extract, text, images, OCR, optical character recognition, foundry, pro, mode
             href: quickstart/use-ai-foundry-pro-mode.md
-          - name: Analyzer templates
-            displayName: analyzer, templates, document, text, images, video, audio, multimodal, visual, structured, content, field, extraction
-            href: concepts/analyzer-templates.md
   - name: Analyzers
     items:
-      - name: "Quickstart"
+      - name: Quickstart
         displayName: quickstart, extract, text, images, OCR, optical character recognition, content filtering, filter
         href: quickstart/use-rest-api.md
       - name: Modalities
@@ -68,6 +65,9 @@ items:
             displayName: video, audio, voice, recognition, synthesis, speaker, identification, verification, diarization, transcription, translation, language, understanding, sentiment, analysis, emotion, detection, pronunciation, model
       - name: Concepts
         items:
+          - name: Analyzer templates
+            displayName: analyzer, templates, document, text, images, video, audio, multimodal, visual, structured, content, field, extraction
+            href: concepts/analyzer-templates.md
           - name: Prebuilt analyzers 🆕
             displayName: analyzer, templates, document, text, images, video, audio, multimodal, visual, structured, content, field, extraction
             href: concepts/prebuilt-analyzers.md
