update release version

laujan · laujan · commit 0dd602c4a71c · 2024-11-08T06:00:11.000-08:00
diff --git a/articles/ai-services/document-intelligence/concept/add-on-capabilities.md b/articles/ai-services/document-intelligence/concept/add-on-capabilities.md
@@ -64,7 +64,7 @@ Document Intelligence supports more sophisticated and modular analysis capabilit
 
 ## Version availability
 
-|Add-on Capability| Add-On/Free|`2024-11-30 (GA)`|[`2023-07-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)|[`2022-08-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)|[v2.1 (GA)](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1&preserve-view=true)|
+|Add-on Capability| Add-On/Free|**2024-11-30 (GA)**|[`2023-07-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)|[`2022-08-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)|[v2.1 (GA)](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1&preserve-view=true)|
 |----------------|-----------|---|--|---|---|
 |Font property extraction|Add-On| ✔️| ✔️| n/a| n/a|
 |Formula extraction|Add-On| ✔️| ✔️| n/a| n/a|
@@ -1050,7 +1050,7 @@ Query fields are an add-on capability to extend the schema extracted from any pr
 
 For query field extraction, specify the fields you want to extract and Document Intelligence analyzes the document accordingly. Here's an example:
 
-* If you're processing a contract in the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/document), use the `2024-11-30 (GA)` version:
+* If you're processing a contract in the [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/document), use the **2024-11-30 (GA)** version:
 
     :::image type="content" source="../media/studio/query-fields.png" alt-text="Screenshot of the query fields button in Document Intelligence Studio.":::
 
diff --git a/articles/ai-services/document-intelligence/concept/query-fields.md b/articles/ai-services/document-intelligence/concept/query-fields.md
@@ -34,7 +34,7 @@ Query fields and key value pairs perform similar functions, there are a few dist
 
 For query field extraction, specify the fields you want to extract and Document Intelligence analyzes the document accordingly. Here's an example:
 
-* If you're processing a contract in the [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/layout), use the `2024-11-30 (GA)`, API version:
+* If you're processing a contract in the [Document Intelligence Studio](https://documentintelligence.ai.azure.com/studio/layout), use the **2024-11-30 (GA)**, API version:
 
     :::image type="content" source="../media/studio/query-fields.png" alt-text="Screenshot of the query fields button in Document Intelligence Studio.":::
 
diff --git a/articles/ai-services/document-intelligence/prebuilt/bank-check.md b/articles/ai-services/document-intelligence/prebuilt/bank-check.md
@@ -19,7 +19,7 @@ The Document Intelligence bank check model combines powerful Optical Character R
 
 | Feature   | version| Model ID |
 |----------  |---------|--------|
-| Check model|&bullet; v4.0:2024-11-30 (GA)|**`prebuilt-check.us`**|
+| Check model|v4.0: **2024-11-30** (GA)|**`prebuilt-check.us`**|
 
 ## Check data extraction
 
diff --git a/articles/ai-services/document-intelligence/prebuilt/bank-statement.md b/articles/ai-services/document-intelligence/prebuilt/bank-statement.md
@@ -20,7 +20,7 @@ The Document Intelligence bank statement model combines powerful Optical Charact
 
 | Feature   | version| Model ID |
 |----------  |---------|--------|
-| Bank statement model|&bullet; v4.0:2024-11-30 (GA)|**`prebuilt-bankStatement.us`**|
+| Bank statement model|v4.0: **2024-11-30** (GA)|**`prebuilt-bankStatement.us`**|
 
 ## Bank statement data extraction
 
diff --git a/articles/ai-services/document-intelligence/prebuilt/contract.md b/articles/ai-services/document-intelligence/prebuilt/contract.md
@@ -35,7 +35,7 @@ Automated contract processing is the process of extracting key contract fields f
 ::: moniker range="doc-intel-4.0.0"
 
 
-Document Intelligence v4.0 (`2024-11-30`) GA supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/prebuilt/credit-card.md b/articles/ai-services/document-intelligence/prebuilt/credit-card.md
@@ -31,7 +31,7 @@ Automated Credit/Debit card processing is the process of extracting key fields f
 
 ::: moniker range="doc-intel-4.0.0"
 
-Document Intelligence v4.0 (`2024-11-30`) GA supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/prebuilt/health-insurance-card.md b/articles/ai-services/document-intelligence/prebuilt/health-insurance-card.md
@@ -36,7 +36,7 @@ The Document Intelligence health insurance card model combines powerful Optical
 ::: moniker range="doc-intel-4.0.0"
 
 
-Document Intelligence v4.0 (`2024-11-30`) GA supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/prebuilt/id-document.md b/articles/ai-services/document-intelligence/prebuilt/id-document.md
@@ -84,7 +84,7 @@ The prebuilt IDs service extracts the key values from worldwide passports and U.
 ::: moniker range="doc-intel-4.0.0"
 
 
-Document Intelligence v4.0 (`2024-11-30`) GA supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/prebuilt/invoice.md b/articles/ai-services/document-intelligence/prebuilt/invoice.md
@@ -63,7 +63,7 @@ Automated invoice processing is the process of extracting key `accounts payable`
 
 ::: moniker range="doc-intel-4.0.0"
 
-Document Intelligence v4.0 (`2024-11-30`) supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/prebuilt/layout.md b/articles/ai-services/document-intelligence/prebuilt/layout.md
@@ -37,7 +37,7 @@ The following illustration shows the typical components in an image of a sample
 ## Development options (v4)
 
 
-Document Intelligence v4.0 (`2024-11-30`) GA supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/prebuilt/marriage-certificate.md b/articles/ai-services/document-intelligence/prebuilt/marriage-certificate.md
@@ -31,7 +31,7 @@ Automated marriage certificate processing is the process of extracting key  fiel
 
 ::: moniker range="doc-intel-4.0.0"
 
-Document Intelligence v4.0 (`2024-11-30`) supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/prebuilt/pay-stub.md b/articles/ai-services/document-intelligence/prebuilt/pay-stub.md
@@ -19,7 +19,7 @@ The Document Intelligence payStub model combines powerful Optical Character Reco
 
 | Feature   | version| Model ID |
 |----------  |---------|--------|
-|payStub model|&bullet; v4.0:2024-11-30 (GA)|**`prebuilt-payStub.us`**|
+|payStub model|v4.0: **2024-11-30** (GA)|**`prebuilt-payStub.us`**|
 
 ## Try payStub data extraction
 
diff --git a/articles/ai-services/document-intelligence/prebuilt/read.md b/articles/ai-services/document-intelligence/prebuilt/read.md
@@ -38,7 +38,7 @@ Optical Character Recognition (OCR) for documents is optimized for large text-he
 ## Development options (v4)
 
 
-Document Intelligence v4.0 (`2024-11-30`) GA supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/prebuilt/receipt.md b/articles/ai-services/document-intelligence/prebuilt/receipt.md
@@ -69,7 +69,7 @@ Receipt digitization encompasses the transformation of various types of receipts
 
 ::: moniker range="doc-intel-4.0.0"
 
-Document Intelligence v4.0 (`2024-11-30`) supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/prebuilt/tax-document.md b/articles/ai-services/document-intelligence/prebuilt/tax-document.md
@@ -53,7 +53,7 @@ The `Unified US Tax` prebuilt model automatically detects and extracts data from
 ::: moniker range="doc-intel-4.0.0"
 
 
-Document Intelligence v4.0 (`2024-11-30`) GA supports the following tools, applications, and libraries:
+Document Intelligence v4.0: **2024-11-30** (GA) supports the following tools, applications, and libraries:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
diff --git a/articles/ai-services/document-intelligence/train/composed-models.md b/articles/ai-services/document-intelligence/train/composed-models.md
@@ -37,7 +37,7 @@ With composed models, you can group multiple custom models into a composed model
 
 Some scenarios require classifying the document first and then analyzing the document with the model best suited to extract the fields from the model. Such scenarios can include ones where a user uploads a document but the document type isn't explicitly known. Another scenario can be when multiple documents are scanned together into a single file and the file is submitted for processing. Your application then needs to identify the component documents and select the best model for each document.
 
-In previous versions, the `model compose` operation performed an implicit classification to decide which custom model best represents the submitted document. The `2024-11-30 (GA)` implementation of the `model compose` operation replaces the implicit classification from the earlier versions with an explicit classification step and adds conditional routing.
+In previous versions, the `model compose` operation performed an implicit classification to decide which custom model best represents the submitted document. The **2024-11-30 (GA)** implementation of the `model compose` operation replaces the implicit classification from the earlier versions with an explicit classification step and adds conditional routing.
 
 ## Benefits of the new model compose operation
 
diff --git a/articles/ai-services/document-intelligence/train/custom-neural.md b/articles/ai-services/document-intelligence/train/custom-neural.md
@@ -54,7 +54,7 @@ Custom neural models currently support key-value pairs and selection marks and s
 | Supported | Supported | Supported | Unsupported | Supported <sup>1</sup> | Supported <sup>2</sup> |
 
 <sup>1</sup> Region labels in custom neural models use the results from the Layout API for specified region. This feature is different from template models where, if no value is present, text is generated at training time.</br>
-<sup>2</sup> Overlapping fields are supported with REST API version `2024-11-30 (GA)`. Overlapping fields have some limits. For more information, *see* [overlapping fields](#overlapping-fields).
+<sup>2</sup> Overlapping fields are supported with REST API version **2024-11-30 (GA)**. Overlapping fields have some limits. For more information, *see* [overlapping fields](#overlapping-fields).
 
 ### Build mode
 
@@ -77,11 +77,11 @@ Overlapping fields have some limits:
 * overlapping fields in a table can't span table rows.
 * Overlapping fields can only be recognized if at least one sample in the dataset contains overlapping labels for those fields.
 
-To use overlapping fields, label your dataset with the overlaps and train the model with the API version ```2024-11-30 (GA)```.
+To use overlapping fields, label your dataset with the overlaps and train the model with the API version ``**2024-11-30 (GA)**``.
 
 ## Tabular fields
 
-Custom neural v4.0 `2024-11-30 (GA)` model supports tabular fields (tables) to analyze table, row, and cell data with added confidence:
+Custom neural v4.0 **2024-11-30 (GA)** model supports tabular fields (tables) to analyze table, row, and cell data with added confidence:
 
 * Models trained with API version 2022-06-30-preview, or later will accept tabular field labels.
 * Documents analyzed with custom neural models using API version 2022-06-30-preview or later will produce tabular fields aggregated across the tables.
@@ -94,7 +94,7 @@ Tabular fields support **cross page tables** by default:
 
 Tabular fields are also useful when extracting repeating information within a document that isn't recognized as a table. For example, a repeating section of work experiences in a resume can be labeled and extracted as a tabular field.
 
-Tabular fields provide **table, row and cell confidence** with the ```2024-11-30 (GA)``` API:
+Tabular fields provide **table, row and cell confidence** with the ``**2024-11-30 (GA)**`` API:
 
 * Fixed or dynamic tables add confidence support for the following elements:
   * Table confidence, a measure of how accurately the entire table is recognized.
