Merge branch 'release-preview3-document-intelligence' into varsha-preview-release-updates

Author: laujan

.openpublishing.redirection.json

@@ -1,5 +1,20 @@
 {
   "redirections": [
+    {
+      "source_path": "articles/storage/files/storage-files-migration-storsimple-1200.md",
+      "redirect_url": "/previous-versions/azure/storage/files/storage-files-migration-storsimple-1200",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/storage/files/storage-files-migration-storsimple-8000.md",
+      "redirect_url": "/previous-versions/azure/storage/files/storage-files-migration-storsimple-8000",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/storage/file-sync/file-sync-storsimple-cost-comparison.md",
+      "redirect_url": "/previous-versions/azure/storage/file-sync/file-sync-storsimple-cost-comparison",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/advisor/advisor-alerts.md",
       "redirect_url": "/azure/advisor/advisor-alerts-portal",

.openpublishing.redirection.sentinel.json

@@ -1,5 +1,10 @@
 {
     "redirections": [
+        {
+            "source_path": "articles/sentinel/cef-name-mapping.md",
+            "redirect_url": "/azure/sentinel/cef-syslog-ama-overview",
+            "redirect_document_id": false
+        },
         {
             "source_path": "articles/sentinel/detect-threats-built-in.md#use-analytics-rule-templates",
             "redirect_url": "/azure/sentinel/create-analytics-rule-from-template",

CODEOWNERS

@@ -1,5 +1,11 @@
 # Codeowners file
 # Each line is a file pattern followed by one or more owners.
 
-# Specify owners for the aks folder
+# Folder paths in this list have been migrated to new repositories and content can no longer be created for these services in this repo.
 /articles/aks @tynevi @thomps23
+/articles/defender-for-cloud  @tynevi @thomps23
+/articles/attestation  @tynevi @thomps23
+/articles/confidential-ledger  @tynevi @thomps23
+/articles/dedicated-hsm  @tynevi @thomps23
+/articles/key-vault  @tynevi @thomps23
+/articles/payment-hsm  @tynevi @thomps23

articles/ai-services/content-safety/studio-quickstart.md

@@ -23,9 +23,12 @@ In this quickstart, get started with the Azure AI Content Safety service using C
 
 * An active Azure account. If you don't have one, you can [create one for free](https://azure.microsoft.com/free/cognitive-services/).
 * A [Content Safety](https://aka.ms/acs-create) Azure resource.
-* Assign `Cognitive Services User` role to your account to ensure the studio experience. Go to [Azure portal](https://portal.azure.com/), navigate to your Content Safety resource or Azure AI Services resource, and select **Access Control** in the left navigation bar, then click **+ Add role assignment**, choose the `Cognitive Services User` role and select the member of your account that you need to assign this role to, then review and assign. It might take few minutes for the assignment to take effect.
+* Assign `Cognitive Services User` role to your account. Go to the [Azure Portal](https://portal.azure.com/), navigate to your Content Safety resource or Azure AI Services resource, and select **Access Control** in the left navigation bar, then select **+ Add role assignment**, choose the `Cognitive Services User` role and select the member of your account that you need to assign this role to, then review and assign. It might take few minutes for the assignment to take effect.
 * Sign in to [Content Safety Studio](https://contentsafety.cognitive.azure.com) with your Azure subscription and Content Safety resource. 
 
+> [!IMPORTANT]
+> * You must assign the `Cognitive Services User` role to your Azure account to use the studio experience. Go to the [Azure Portal](https://portal.azure.com/), navigate to your Content Safety resource or Azure AI Services resource, and select **Access Control** in the left navigation bar, then select **+ Add role assignment**, choose the `Cognitive Services User` role and select the member of your account that you need to assign this role to, then review and assign. It might take few minutes for the assignment to take effect.
+
 
 ## Analyze text content
 The [Moderate text content](https://contentsafety.cognitive.azure.com/text) page provides capability for you to quickly try out text moderation.

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

@@ -218,7 +218,7 @@ sections:
 
            - Your data must remain within a single machine. Use the [FOTT Sample Labeling tool](/azure/ai-services/document-intelligence/label-tool) and a [Document Intelligence container](/azure/ai-services/document-intelligence/containers/install-run).
 
-           - Your project is highly dependent on Document Intelligence V2.1, and you want to keep using the v2.1 APIs.
+           - Your project is highly dependent on Document Intelligence V2.1 and you want to keep using the v2.1 APIs.
 
       - question: |
          Are there best practices to mitigate throttling?
@@ -292,8 +292,7 @@ sections:
       answer: |
         **Yes for the first 10 hours only.**
 
-        If training hours exceed 10 hours, charges incur for further custom neural model training.
-
+        If training hours exceed 10 hours, charges are incurred for further custom neural model training.
 
   - name: Storage account
     questions:

articles/ai-services/document-intelligence/how-to-guides/compose-custom-models.md

@@ -64,7 +64,7 @@ To get started, you need the following resources:
 
 ## Create your custom models
 
-First, you need a set of custom models to compose. You can use the Document Intelligence Studio, REST API, or client-libraries. The steps are as follows:
+First, you need a set of custom models to compose. You can use the Document Intelligence Studio, REST API, or client libraries. The steps are as follows:
 
 * [**Assemble your training dataset**](#assemble-your-training-dataset)
 * [**Upload your training set to Azure blob storage**](#upload-your-training-dataset)
@@ -123,6 +123,8 @@ See [Document Intelligence Studio: labeling as tables](../concept-custom-label.m
 Training with labels leads to better performance in some scenarios. To train with labels, you need to have special label information files (*\<filename\>.pdf.labels.json*) in your blob storage container alongside the training documents.
 
 Label files contain key-value associations that a user enters manually and are needed for labeled data training. However, not every source file needs to have a corresponding label file. Source files without labels are treated as ordinary training documents. We recommend five or more labeled files for reliable training. You can use a UI tool like [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects) to generate these files.
+=======
+Label files contain key-value associations that a user entered manually. The files are needed for labeled data training, but not every source file needs to have a corresponding label file. Source files without labels are treated as ordinary training documents. We recommend five or more labeled files for reliable training. You can use a UI tool like [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects) to generate these files.
 
 Once you have your label files, you can include them with by calling the training method with the *useLabelFile* parameter set to `true`.
 
@@ -206,7 +208,7 @@ Once the training process is successfully completed, you can begin to build your
 
 #### Compose your custom models
 
-The [`compose model` API](/rest/api/aiservices/document-models/compose-model?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP) accepts a list of model IDs to be composed.
+The [composed models API](/rest/api/aiservices/document-models/compose-model?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP) accepts a list of model IDs to be composed.
 
 :::image type="content" source="../media/compose-model-request-body.png" alt-text="Screenshot of compose model request.":::
 
@@ -297,7 +299,7 @@ Document Intelligence uses advanced machine-learning technology to detect and ex
 
 * **Composed models**. A composed model is created by taking a collection of custom models and assigning them to a single model that encompasses your form types. When a document is submitted to a composed model, the service performs a classification step to decide which custom model accurately represents the form presented for analysis.
 
-In this article, you learn how to create Document Intelligence custom and composed models using our [Document Intelligence Sample Labeling tool](../label-tool.md), [REST APIs](../how-to-guides/use-sdk-rest-api.md?view=doc-intel-2.1.0&preserve-view=true), or [client-libraries](../how-to-guides/use-sdk-rest-api.md?view=doc-intel-2.1.0&preserve-view=true).
+In this article, learn how to create Document Intelligence custom and composed models using our [Document Intelligence Sample Labeling tool](../label-tool.md), [REST APIs](../how-to-guides/use-sdk-rest-api.md?view=doc-intel-2.1.0&preserve-view=true), or [client libraries](../how-to-guides/use-sdk-rest-api.md?view=doc-intel-2.1.0&preserve-view=true).
 
 ## Sample Labeling tool
 
@@ -385,7 +387,7 @@ The [**REST API**](build-a-custom-model.md?view=doc-intel-2.1.0&preserve-view=tr
 
 ### [**Client-library SDKs**](#tab/sdks)
 
- The [**client-library SDKs**](build-a-custom-model.md?view=doc-intel-2.1.0&preserve-view=true#train-your-model) return a model object that can be queried to return the trained model ID:
+ The [**client library SDKs**](build-a-custom-model.md?view=doc-intel-2.1.0&preserve-view=true#train-your-model) return a model object that can be queried to return the trained model ID:
 
 * C\#  | [CustomFormModel Class](/dotnet/api/azure.ai.formrecognizer.training.customformmodel?view=azure-dotnet&preserve-view=true#properties "Azure SDK for .NET")
 
@@ -446,7 +448,7 @@ Use the programming language code of your choice to create a composed model that
 
 ### [**Document Intelligence Sample Labeling tool**](#tab/studio)
 
-1. On the tool's left-pane menu, select the **`Analyze icon`** (light bulb).
+1. On the tool left-pane menu, select the **`Analyze` icon** (light bulb).
 
 1. Choose a local file or  image URL to analyze.
 

articles/ai-services/document-intelligence/media/studio/overview-pay-stub.png

@@ -391,11 +391,11 @@ You can use Document Intelligence to automate document processing in application
 
 ### Pay stub
 
-:::image type="content" source="media/studio/overview-paystub.png" alt-text="Screenshot of Paystub model analysis using Document Intelligence Studio.":::
+:::image type="content" source="media/studio/overview-pay-stub.png" alt-text="Screenshot of pay stub model analysis using Document Intelligence Studio.":::
 
 | Model ID | Description |Automation use cases | Development options |
 |----------|--------------|-------------------------|-----------|
-|[**prebuilt-paystub**](concept-pay-stub.md) |&#9679; Extract key information from paystubs.</br>&#9679; [Data and field extraction](concept-pay-stub.md#field-extractions) |&#9679; Employee payroll detail verification.</br>&#9679; Fraud detection for employment.</br>&#9679; Automated tax processing. |&#9679;  [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=payStub.us&formType=payStub.us)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
+|[**prebuilt-paystub**](concept-pay-stub.md) |&#9679; Extract key information from pay stubs.</br>&#9679; [Data and field extraction](concept-pay-stub.md#field-extractions) |&#9679; Employee payroll detail verification.</br>&#9679; Fraud detection for employment.</br>&#9679; Automated tax processing. |&#9679;  [**Document Intelligence Studio**](https://documentintelligence.ai.azure.com/studio/prebuilt?formCategory=payStub.us&formType=payStub.us)</br>&#9679; [**REST API**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true&pivots=programming-language-rest-api#analyze-document-post-request)</br>&#9679; [**C# SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Python SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**Java SDK**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)</br>&#9679; [**JavaScript**](quickstarts/get-started-sdks-rest-api.md?view=doc-intel-4.0.0&preserve-view=true#prebuilt-model)|
 
 > [!div class="nextstepaction"]
 > [Return to model types](#prebuilt-models)

articles/ai-services/document-intelligence/overview.md

@@ -119,7 +119,7 @@ items:
         href: how-to/fine-tune-model-llama.md
     - name: Deploy JAIS models
       href: how-to/deploy-jais-models.md
-    - name: Deploy Jamba Instruct model
+    - name: Deploy AI21 Jamba Instruct model
       href: how-to/deploy-models-jamba.md
     - name: Deploy Mistral family models
       href: how-to/deploy-models-mistral.md

articles/ai-studio/toc.yml

@@ -70,7 +70,7 @@
       href: analysis-services-vnet-gateway.md
     - name: Manage a server
       href: analysis-services-manage.md
-    - name: Monitor
+    - name: Monitor Analysis Services
       href: monitor-analysis-services.md
     - name: Set up diagnostic logging
       href: analysis-services-logging.md