remove custom gen add us restriction

Author: laujan

articles/ai-services/.openpublishing.redirection.ai-services.json

@@ -784,6 +784,16 @@
       "source_path_from_root": "/articles/ai-services/document-intelligence/quickstarts/try-document-intelligence-studio.md",
       "redirect_url": "/azure/ai-services/document-intelligence/quickstarts/studio-custom-project",
       "redirect_document_id": true
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/document-intelligence/train/custom-generative-extraction.md",
+      "redirect_url": "/azure/ai-services/document-intelligence/train/custom-model",
+      "redirect_document_id": true
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/document-intelligence/how-to-guides/build-train-custom-generative-model.md",
+      "redirect_url": "/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-model",
+      "redirect_document_id": true
     }
   ]
 }

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

@@ -52,8 +52,7 @@ sections:
         answer: |
           **Yes.**
 
-          Document Intelligence now includes [custom generative](train/custom-generative-extraction.md) a new type of extraction model that uses Generative AI and large language models (LLMs) to extract fields from documents. In the past, you used a RAG (retrieval augmented generation) pattern to extract fields. The new model provides high quality results with a single API call.
-          You can also use a document generative AI solution to chat with your documents (RAG), generate captivating content from those documents, and access Azure OpenAI Service models on your data.
+           You can also use a document generative AI solution to chat with your documents (RAG), generate captivating content from those documents, and access Azure OpenAI Service models on your data.
 
           - With Azure AI Document Intelligence and Azure OpenAI combined, you can build an enterprise application to seamlessly interact with your documents using natural language. You can easily find answers, gain valuable insights, and generate new and engaging content from existing documents.
 
@@ -301,10 +300,6 @@ sections:
       answer: |
         **Yes.**
 
-        Training is free for all custom generative and custom template models. However, creating the training dataset for all models requires running the Layout model on the training documents. Customers are responsible for this cost. 
-        
-        Custom generative models also rely on the auto label feature to speed up the generation of the labeled dataset. There's a cost associated with this action. While the build operation for template and generative models is free, creating the labeled dataset can result in some minimal costs.
-
         For `v4.0 11-30-2024 (GA)` custom neural models can be trained for free for a **maximum of 10 hours**. Whether you're training a single model for the 10 hours, or training multiple models for the total of 10 hours, you aren't charged for the first 10 hours. After using up the free 10 hours, you're **automatically charged by the extra training hour**. For details on the prices, refer to the [pricing page](https://azure.microsoft.com/pricing/details/ai-document-intelligence/). This new paid training feature enables training models for an extended duration to process larger documents. For more information on this paid training feature, check [custom neural model billing section](train/custom-neural.md#billing).
         
         For `v3.0 2022-08-31` or `v3.1 2023-07-31`, custom neural models can be trained for free for a maximum of 20 training sessions, with each session capped at 30 minutes of training duration. Once you use up all of the 20 training sessions, you can submit Azure support ticket to increase the training session limit. To increase the limit, two training sessions are considered as one training hour, and you're charged per two sessions / one training hour. For details on the prices, refer to the [pricing page]. For more information on ways to increase the limit, check [custom neural model billing section](train/custom-neural.md#billing). **For `v3.0` and `v3.1`, paid training feature is unavailable. Paid training feature for custom neural model is only available on `v4.0`.**

articles/ai-services/document-intelligence/how-to-guides/build-a-custom-model.md

@@ -18,9 +18,6 @@ monikerRange: '<=doc-intel-4.0.0'
 
 [!INCLUDE [applies to v4.0 v3.1 v3.0](../includes/applies-to-v40-v31-v30.md)]   ![blue-checkmark](../media/blue-yes-icon.png) [v2.1](?view=doc-intel-2.1.0&preserve-view=true)
 
-> [!IMPORTANT]
-> Custom generative model training behavior is different from custom template and neural model training. The following document covers training only for custom template and neural models. For guidance on custom generative, refer to [custom generative model](../train/custom-generative-extraction.md)
-
 Document Intelligence custom models require a handful of training documents to get started. If you have at least five documents, you can get started training a custom model. You can train either a [custom template model (custom form)](../train/custom-template.md) or a [custom neural model (custom document)](../train/custom-neural.md) or [custom template model (custom form)](../train/custom-generative-extraction.md). This document walks you through the process of training the custom models.
 
 ## Custom model input requirements
@@ -207,5 +204,5 @@ Now that you learned how to build a training data set, follow a quickstart to tr
 ### See also
 
 * [Train a model and extract document data using the client library or REST API](../quickstarts/get-started-sdks-rest-api.md)
-* [Custom generative model](../train/custom-generative-extraction.md)
+
 * [What is Document Intelligence?](../overview.md)

articles/ai-services/document-intelligence/how-to-guides/build-train-custom-generative-model.md

@@ -70,8 +70,6 @@ landingContent:
      linkLists:
          - linkListType: concept
            links:
-             - text: 🆕 Custom generative model
-               url:  train/custom-generative-extraction.md
              - text: 🆕 Retrieval-Augmented Generation (RAG)
                url:  concept/retrieval-augmented-generation.md
              - text: 🆕 Batch document analysis

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

@@ -98,8 +98,8 @@ Azure AI Document Intelligence models provide multilingual document processing s
 
 :::moniker-end
 
-## Custom generative 
-Custom generative only supports English `en`
+
+
 
 ## Custom neural
 

articles/ai-services/document-intelligence/language-support/custom.md

@@ -116,7 +116,6 @@ Document Intelligence billing is calculated monthly based on the model type and
 >
 > * [**Custom template model**](train/custom-template.md)
 > * [**Custom neural model**](train/custom-neural.md)
-> * [**Custom generative model**](train/custom-generative-extraction.md)
 > * [**Composed classification models**](train/custom-classifier.md)
 > * [**Composed custom models**](train/composed-models.md)