Merge pull request #11810 from MicrosoftDocs/learn-build-service-prod…

…bot/docutune-autopr-20240401-050637-4766704-ignore-build

[DocuTune-Remediation] DocuTune scheduled execution in AAC (part 1)

docs/ai-ml/architecture/analyze-video-computer-vision-machine-learning.yml

@@ -2,7 +2,7 @@
 metadata:
   title: Analyze video content with Computer Vision and Azure Machine Learning
   titleSuffix: Azure Architecture Center
-  description: Find out how to automate video analysis. Use Computer Vision and Azure Machine Learning to analyze your content. 
+  description: Find out how to automate video analysis. Use Computer Vision and Azure Machine Learning to analyze your content.
   author: oscarsk91
   ms.author: oscarsh
   ms.date: 11/04/2022
@@ -19,7 +19,7 @@ products:
   - azure-synapse-analytics
   - azure-data-lake-storage
 name: Analyze video content with Computer Vision and Azure Machine Learning
-summary: Use Computer Vision and Azure Machine Learning to analyze your video content. 
+summary: Use Computer Vision and Azure Machine Learning to analyze your video content.
 thumbnailUrl: /azure/architecture/browse/thumbs/analyze-video-thumb.png
 content: |
-  [!include[](analyze-video-computer-vision-machine-learning-content.md)]
+  [!INCLUDE[](analyze-video-computer-vision-machine-learning-content.md)]

docs/ai-ml/architecture/automate-document-classification-durable-functions.yml

@@ -21,4 +21,4 @@ name: Automate document identification, classification, and search by using Dura
 summary: Use Durable Functions, a feature of Azure Functions, as an automated document processing pipeline to classify documents by type.
 thumbnailUrl: /azure/architecture/browse/thumbs/automate-document-classification-durable-functions-thumb.png
 content: |
-  [!include[](automate-document-classification-durable-functions-content.md)]
+  [!INCLUDE[](automate-document-classification-durable-functions-content.md)]

docs/ai-ml/architecture/automate-document-processing-azure-form-recognizer.yml

@@ -1,8 +1,8 @@
 ### YamlMime:Architecture
 metadata:
-  title: Automate document processing with Azure Form Recognizer
+  title: Automate document processing with AI Document Intelligence
   titleSuffix: Azure Architecture Center
-  description: Build an automated document processing pipeline. Use Azure Form Recognizer to extract data and natural language processing models to enrich the data.
+  description: Build an automated document processing pipeline. Use AI Document Intelligence to extract data and natural language processing models to enrich the data.
   author: jyravi
   ms.author: jyravi
   ms.date: 09/27/2022
@@ -19,8 +19,8 @@ products:
   - azure-cosmos-db
   - document-intelligence
   - azure-machine-learning
-name: Automate document processing by using Azure Form Recognizer
-summary: Build an automated document processing pipeline. Use Azure Form Recognizer to extract data and natural language processing models to enrich the data.
+name: Automate document processing by using AI Document Intelligence
+summary: Build an automated document processing pipeline. Use AI Document Intelligence to extract data and natural language processing models to enrich the data.
 thumbnailUrl: /azure/architecture/browse/thumbs/automate-document-processing-form-recognizer.png
 content: |
-  [!include[](automate-document-processing-azure-form-recognizer-content.md)]
+  [!INCLUDE[](automate-document-processing-azure-form-recognizer-content.md)]

docs/ai-ml/architecture/automate-pdf-forms-processing.yml

@@ -2,7 +2,7 @@
 metadata:
   title: Automate PDF forms processing
   titleSuffix: Azure Architecture Center
-  description: Use Azure services such as Azure Form Recognizer, Azure Logic Apps, and Azure Functions to implement cost-effective and flexible automated PDF processing.
+  description: Use Azure services such as AI Document Intelligence, Azure Logic Apps, and Azure Functions to implement cost-effective and flexible automated PDF processing.
   author: gailzmicrosoft 
   ms.author: gazho, echowan 
   ms.date: 03/30/2023
@@ -17,7 +17,7 @@ products:
   - azure-logic-apps
   - azure-functions
 name: Automate PDF forms processing
-summary: Use Azure services such as Azure Form Recognizer, Azure Logic Apps, and Azure Functions to implement cost-effective and flexible automated PDF processing.
+summary: Use Azure services such as AI Document Intelligence, Azure Logic Apps, and Azure Functions to implement cost-effective and flexible automated PDF processing.
 thumbnailUrl: /azure/architecture/browse/thumbs/automate-pdf-forms-processing.png
 content: |
-  [!include[](automate-pdf-forms-processing-content.md)]
+  [!INCLUDE[](automate-pdf-forms-processing-content.md)]

docs/ai-ml/architecture/baseline-openai-e2e-chat.yml

@@ -24,4 +24,4 @@ name: Baseline OpenAI end-to-end chat reference architecture
 summary: Learn about proven practices for building and deploying enterprise chat applications with OpenAI, Azure Machine Learning, and Azure App Services.
 thumbnailUrl: /azure/architecture/browse/thumbs/openai-end-to-end.png
 content: |
-   [!include[](baseline-openai-e2e-chat-content.md)]
+   [!INCLUDE[](baseline-openai-e2e-chat-content.md)]

docs/ai-ml/architecture/batch-scoring-R-models.yml

@@ -26,8 +26,8 @@ products:
   - azure-container-instances
   - azure-logic-apps
   - azure-machine-learning
-name: Batch scoring with R models to forecast sales  
+name: Batch scoring with R models to forecast sales
 summary: Perform batch scoring with R models using Azure Batch and a data set based on retail store sales forecasting.
 thumbnailUrl: /azure/architecture/browse/thumbs/batch-scoring-r-models-thumbnail.png
 content: |
-  [!include[](batch-scoring-R-models-content.md)]
+  [!INCLUDE[](batch-scoring-R-models-content.md)]

docs/ai-ml/architecture/batch-scoring-databricks.yml

@@ -31,4 +31,4 @@ name: Batch scoring of Spark models on Azure Databricks
 summary: Build a scalable solution for batch scoring an Apache Spark classification model on a schedule using Azure Databricks.
 thumbnailUrl: /azure/architecture/browse/thumbs/batch-scoring-spark-models-databricks-thumbnail.png
 content: |
-  [!include[](batch-scoring-databricks-content.md)]
+  [!INCLUDE[](batch-scoring-databricks-content.md)]

docs/ai-ml/architecture/batch-scoring-deep-learning.yml

@@ -29,4 +29,4 @@ name: Batch scoring for deep learning models using Azure Machine Learning pipeli
 summary: Apply neural style transfer to a video using a convolutional neural network (deep learning) in an Azure Machine Learning pipeline with batch scoring.
 thumbnailUrl: /azure/architecture/browse/thumbs/azure-machine-learning-deep-learning-scoring-pipeline-thumbnail.png
 content: |
-  [!include[](batch-scoring-deep-learning-content.md)]
+  [!INCLUDE[](batch-scoring-deep-learning-content.md)]