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Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/prebuilt/general-document.md
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@@ -6,7 +6,7 @@ author: laujan
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ms.service: azure-ai-document-intelligence
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ms.topic: conceptual
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ms.date: 11/19/2024
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ms.date: 02/27/2025
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ms.author: lajanuar
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---
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:::moniker range="doc-intel-4.0.0"
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> [!IMPORTANT]
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> Starting with Document Intelligence versions **v4.0 preview versions** and going forward, the general document model (prebuilt-document) is deprecated. To extract key-value pairs, selection marks, text, tables, and structure from documents, use the following models:
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> For Document Intelligence versions **v4.0 preview versions** and going forward, the general document model (prebuilt-document) is deprecated. To extract key-value pairs, selection marks, text, tables, and structure from documents, use the following models:
Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/train/composed-models.md
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ms.service: azure-ai-document-intelligence
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ms.topic: conceptual
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ms.date: 11/19/2024
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ms.date: 02/27/2025
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ms.author: lajanuar
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> [!IMPORTANT]
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> The v4.0 2024-11-30 (GA) [`model compose`](#benefits-of-the-new-model-compose-operation) operation adds an explicitly trained classifier instead of an implicit classifier for analysis. For the previous composed model version, *see* Composed custom models v3.1. If you are currently using composed models consider upgrading to the latest implementation.
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> The v4.0 `2024-11-30` (GA) [`model compose`](#benefits-of-the-new-model-compose-operation) operation adds an explicitly trained classifier instead of an implicit classifier for analysis. For the previous composed model version, *see* Composed custom models v3.1. If you're currently using composed models, consider upgrading to the latest implementation.
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## What is a composed model?
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### Composed model compatibility
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|Custom model type|Models trained with v2.1 and v2.0 | Custom template and neural models v3.1 and v3.0 |Custom template and neural models v4.0 2024-11-30 (GA)|
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|Custom model type|Models trained with v2.1 and v2.0 | Custom template and neural models v3.1 and v3.0 |Custom template and neural models v4.0 `2024-11-30` (GA)|
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|--|--|--|--|
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|**Models trained with version 2.1 and v2.0**|Not Supported|Not Supported|Not Supported|
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|**Custom template and neural models v3.0 and v3.1**|Not Supported|Supported|Supported|
> * The `v4.0 2024-11-30 (GA)` API, custom classification model won't split documents by default during the analyzing process.
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> * The `v4.0 2024-11-30 (GA)` API, custom classification model doesn't split documents by default during the analyzing process.
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> * You need to explicitly set the ``splitMode`` property to auto to preserve the behavior from previous releases. The default for `splitMode` is `none`.
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> * If your input file contains multiple documents, you need to enable splitting by setting the ``splitMode`` to ``auto``.
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> [!NOTE]
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>
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> * Custom classification v4.0 2024-11-30 (GA) models support incremental training. You can add new samples to existing classes or add new classes by referencing an existing classifier.
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> * Custom classification v3.1 2023-07-31 (GA) model does not support model copy. To use the model copy feature, please train the model using the latest v4.0 GA model.
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> * Custom classification v4.0 `2024-11-30` (GA) models support incremental training. You can add new samples to existing classes or add new classes by referencing an existing classifier.
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> * Custom classification v3.1 `2023-07-31` (GA) model doesn't support model copy. To use the model copy feature, train the model using the latest v4.0 (GA) model.
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Custom classification models can analyze a single- or multi-file documents to identify if any of the trained document types are contained within an input file. Here are the currently supported scenarios:
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> [!IMPORTANT]
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>
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> Incremental training is only supported with models trained with the same API version. If you are trying to extend a model, use the API version the original model was trained with to extend the model. Incremental training is only supported with API version **v4.0 2024-11-30 (GA)** or later.
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> Incremental training is only supported with models trained with the same API version. If you're trying to extend a model, use the API version the original model was trained with to extend the model. Incremental training is only supported with API version **v4.0 2024-11-30 (GA)** or later.
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Incremental training requires that you provide the original model ID as the `baseClassifierId`. See [incremental training](../concept/incremental-classifier.md) to learn more about how to use incremental training.
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## Overwriting a model
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> [!NOTE]
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> The v4.0 2024-11-30 (GA) custom classification model supports overwriting a model in-place.
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> The v4.0 `2024-11-30` (GA) custom classification model supports overwriting a model in-place.
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You can now update the custom classification in-place. Directly overwriting the model would lose you the ability to compare model quality before deciding to replace the existing model. Model overwriting is allowed when the `allowOverwrite` property is explicitly specified in the request body. It's impossible to recover the overwritten, original model once this action is performed.
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## Copy a model
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> [!NOTE]
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> The custom classification v4.0 2024-11-30 (GA) model supports copying a model to and from any of the following regions:
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> The custom classification v4.0 `2024-11-30` (GA) model supports copying a model to and from any of the following regions:
Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/whats-new.md
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ms.service: azure-ai-document-intelligence
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ms.topic: whats-new
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ms.date: 02/05/2025
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* Add-on capabilities are available within all models excluding the [Read model](prebuilt/read.md).
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>[!NOTE]
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> With the 2022-08-31 API general availability (GA) release, the associated preview APIs are being deprecated. If you're using the 2021-09-30-preview, 2022-01-30-preview, or 2022-06-30-preview API versions, update your applications to target the 2022-08-31 API version. There are a few minor changes involved, for more information, _see_ the [migration guide](v3-1-migration-guide.md).
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> With the `2022-08-31` API general availability (GA) release, the associated preview APIs are being deprecated. If you're using the 2021-09-30-preview, 2022-01-30-preview, or 2022-06-30-preview API versions, update your applications to target the `2022-08-31` API version. There are a few minor changes involved, for more information, _see_ the [migration guide](v3-1-migration-guide.md).
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## July 2023
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> [!NOTE]
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> Form Recognizer is now **Azure AI Document Intelligence**!
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> *There are no changes to pricing.
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> *No changes to pricing.
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> * The names *Cognitive Services* and *Azure Applied AI* continue to be used in Azure billing, cost analysis, price list, and price APIs.
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> *There are no breaking changes to application programming interfaces (APIs) or client libraries.
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> *No breaking changes to application programming interfaces (APIs) or client libraries.
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> * Some platforms are still awaiting the renaming update. All mention of Form Recognizer or Document Intelligence in our documentation refers to the same Azure service.
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