Merge pull request #12158 from jyravi/patch-5

Update automate-document-processing-azure-form-recognizer-content.md

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

@@ -20,10 +20,11 @@ The following sections describe the various stages of the data extraction proces
    - [Invoice][Form Recognizer invoice model]
    - [Receipt][Form Recognizer receipt model]
    - [ID document][Form Recognizer ID document model]
-   - [Business card][Form Recognizer business card model]
-   - [General document][Form Recognizer general document model (preview)]
+   - [General document][Form Recognizer general document model]
+   - [US tax document models](/azure/ai-services/document-intelligence/concept-tax-document)
+   - [US mortgage document model](/azure/ai-services/document-intelligence/concept-mortgage-documents)
 
-   The response from Azure AI Document Intelligence contains raw optical character recognition (OCR) data and structured extractions. Azure AI Document Intelligence also assigns [confidence values][Characteristics and limitations of Form Recognizer - Customer evaluation] to the extracted data.
+   The response from Azure AI Document Intelligence contains raw optical character recognition (OCR) data and structured extractions.
 
 1. The App Service back-end application uses the confidence values to check the extraction quality. If the quality is below a specified threshold, the app flags the data for manual verification. When the extraction quality meets requirements, the data enters [Azure Cosmos DB][Welcome to Azure Cosmos DB] for downstream application consumption. The app can also return the results to the front-end browser.
 
@@ -311,12 +312,12 @@ Principal author:
 [Durability and availability parameters]: /azure/storage/common/storage-redundancy#durability-and-availability-parameters
 [Extract text from objects using Power Automate and AI Builder]: ../../example-scenario/ai/extract-object-text.yml
 [Failover for business continuity and disaster recovery]: /azure/machine-learning/how-to-high-availability-machine-learning
-[Form Recognizer business card model]: /azure/applied-ai-services/form-recognizer/concept-business-card
-[Form Recognizer general document model (preview)]: /azure/applied-ai-services/form-recognizer/concept-general-document
+[Form Recognizer general document model]: /azure/applied-ai-services/form-recognizer/concept-general-document
 [Form Recognizer ID document model]: /azure/applied-ai-services/form-recognizer/concept-id-document
 [Form Recognizer invoice model]: /azure/applied-ai-services/form-recognizer/concept-invoice
 [Form Recognizer layout model]: /azure/applied-ai-services/form-recognizer/concept-layout
 [Form Recognizer receipt model]: /azure/applied-ai-services/form-recognizer/concept-receipt
+[US tax document models]: /azure/ai-services/document-intelligence/concept-tax-document
 [Get started: Form Recognizer Studio]: /azure/ai-services/document-intelligence/quickstarts/try-document-intelligence-studio?view=doc-intel-3.1.0
 [Get started with AzCopy]: /azure/storage/common/storage-use-azcopy-v10
 [How to: Use Sentiment analysis and Opinion Mining - Data limits]: /azure/cognitive-services/language-service/sentiment-opinion-mining/how-to/call-api#data-limits