Merge branch 'main' of github.com:MicrosoftDocs/azure-ai-docs-pr into sdg-freshness

Author: sdgilley

.openpublishing.publish.config.json

@@ -3,13 +3,14 @@
     {
       "docset_name": "azure-ai",
       "build_source_folder": ".",
+      "build_output_subfolder": "azure-ai",
+      "locale": "en-us",
+      "monikers": [],
+      "moniker_ranges": [],
       "xref_query_tags": [
         "/dotnet",
         "/python"
       ],
-      "build_output_subfolder": "azure-ai",
-      "locale": "en-us",
-      "monikers": [],
       "open_to_public_contributors": true,
       "type_mapping": {
         "Conceptual": "Content",
@@ -172,4 +173,4 @@
   ],
   "branch_target_mapping": {},
   "targets": {}
-}
+}

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

@@ -30,6 +30,11 @@
       "redirect_url": "/azure/ai-services/language-service/conversational-language-understanding/how-to/migrate-from-luis",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/ai-services/luis/luis-concept-data-conversion.md",
+      "redirect_url": "/azure/ai-services/language-service/conversational-language-understanding/how-to/migrate-from-luis",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/ai-services/custom-vision-service/update-application-to-3.0-sdk.md",
       "redirect_url": "/azure/ai-services/custom-vision-service/overview",
@@ -40,6 +45,11 @@
       "redirect_url": "/azure/ai-services/custom-vision-service/whats-new",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/ai-services/custom-vision-service/concepts/compare-alternatives.md",
+      "redirect_url": "/azure/ai-services/custom-vision-service/overview",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/ai-services/luis/luis-migration-authoring.md",
       "redirect_url": "/azure/ai-services/language-service/conversational-language-understanding/how-to/migrate-from-luis",
@@ -320,6 +330,26 @@
       "redirect_url": "/azure/ai-services/computer-vision/how-to/model-customization",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/ai-services/computer-vision/deploy-computer-vision-on-premises.md",
+      "redirect_url": "/azure/ai-services/computer-vision/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/computer-vision/spatial-analysis-web-app.md",
+      "redirect_url": "/azure/ai-services/computer-vision/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/computer-vision/tutorials/storage-lab-tutorial.md",
+      "redirect_url": "/azure/ai-services/computer-vision/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/custom-vision-service/iot-visual-alerts-tutorial.md",
+      "redirect_url": "/azure/ai-services/computer-vision/",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/ai-services/document-intelligence/concept-document-intelligence-studio.md",
       "redirect_url": "/azure/ai-services/document-intelligence/studio-overview",
@@ -405,6 +435,21 @@
       "redirect_url": "/azure/ai-services/speech-service/release-notes",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/ai-services/speech-service/get-started-speaker-recognition.md",
+      "redirect_url": "/azure/ai-services/speech-service/speaker-recognition-overview",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/speech-service/how-to-recognize-intents-from-speech-csharp.md",
+      "redirect_url": "/azure/ai-services/speech-service/intent-recognition",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/speech-service/how-to-custom-speech-continuous-integration-continuous-deployment.md",
+      "redirect_url": "/azure/ai-services/speech-service/how-to-custom-speech-model-and-endpoint-lifecycle",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/ai-services/anomaly-detector/how-to/postman.md",
       "redirect_url": "/azure/ai-services/anomaly-detector/overview",
@@ -414,6 +459,26 @@
       "source_path_from_root": "/articles/ai-services/anomaly-detector//tutorials/multivariate-anomaly-detection-synapse.md",
       "redirect_url": "/azure/ai-services/anomaly-detector/overview",
       "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/language-service/summarization/custom/how-to/data-formats.md",
+      "redirect_url": "/azure/ai-services//language-service/summarization/overview",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/language-service/summarization/custom/how-to/deploy-model.md",
+      "redirect_url": "/azure/ai-services//language-service/summarization/overview",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/language-service/summarization/custom/how-to/test-evaluate.md",
+      "redirect_url": "/azure/ai-services//language-service/summarization/overview",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/language-service/summarization/custom/quickstart.md",
+      "redirect_url": "/azure/ai-services//language-service/summarization/overview",
+      "redirect_document_id": false
     }
   ]
 }

articles/ai-services/anomaly-detector/index.yml

@@ -12,7 +12,7 @@ metadata:
   manager: nitinme
   ms.service: azure-ai-anomaly-detector
   ms.topic: landing-page
-  ms.date: 01/18/2024
+  ms.date: 09/20/2024
   ms.author: mbullwin
 
 

articles/ai-services/anomaly-detector/overview.md

@@ -7,7 +7,7 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-anomaly-detector
 ms.topic: overview
-ms.date: 01/18/2024
+ms.date: 09/20/2024
 ms.author: mbullwin
 keywords: anomaly detection, machine learning, algorithms
 ---

articles/ai-services/cognitive-services-container-support.md

@@ -7,15 +7,15 @@ author: aahill
 manager: nitinme
 ms.service: azure-ai-services
 ms.topic: overview
-ms.date: 08/23/2024
+ms.date: 09/25/2024
 ms.author: aahi
 keywords: on-premises, Docker, container, Kubernetes
 #Customer intent: As a potential customer, I want to know more about how Azure AI services provides and supports Docker containers for each service.
 ---
 
 # What are Azure AI containers?
 
-Azure AI services provides several [Docker containers](https://www.docker.com/what-container) that let you use the same APIs that are available in Azure, on-premises. Using these containers gives you the flexibility to bring Azure AI services closer to your data for compliance, security or other operational reasons. Container support is currently available for a subset of Azure AI services.
+Azure AI services provide several [Docker containers](https://www.docker.com/what-container) that let you use the same APIs that are available in Azure, on-premises. Using these containers gives you the flexibility to bring Azure AI services closer to your data for compliance, security or other operational reasons. Container support is currently available for a subset of Azure AI services.
 
 > [!VIDEO https://www.youtube.com/embed/hdfbn4Q8jbo]
 
@@ -48,7 +48,7 @@ Azure AI containers provide the following set of Docker containers, each of whic
 | Service |  Container | Description | Availability |
 |--|--|--|--|
 | [LUIS][lu-containers] |  **LUIS** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/language/luis/about)) | Loads a trained or published Language Understanding model, also known as a LUIS app, into a docker container and provides access to the query predictions from the container's API endpoints. You can collect query logs from the container and upload these back to the [LUIS portal](https://www.luis.ai) to improve the app's prediction accuracy. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
-| [Language service][ta-containers-keyphrase] | **Key Phrase Extraction** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/keyphrase/about)) | Extracts key phrases to identify the main points. For example, for the input text "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff". | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
+| [Language service][ta-containers-keyphrase] | **Key Phrase Extraction** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/keyphrase/about)) | Extracts key phrases to identify the main points. For example, for the input text "The food was delicious and there were wonderful staff," the API returns the main talking points: "food" and "wonderful staff". | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
 | [Language service][ta-containers-language] |  **Text Language Detection** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/language/about)) | For up to 120 languages, detects which language the input text is written in and report a single language code for every document submitted on the request. The language code is paired with a score indicating the strength of the score. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
 | [Language service][ta-containers-sentiment] | **Sentiment Analysis** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/sentiment/about)) | Analyzes raw text for clues about positive or negative sentiment. This version of sentiment analysis returns sentiment labels (for example *positive* or *negative*) for each document and sentence within it. |  Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
 | [Language service][ta-containers-health] |  **Text Analytics for health** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/healthcare/about))| Extract and label medical information from unstructured clinical text. | Generally available |

articles/ai-services/computer-vision/computer-vision-how-to-install-containers.md

@@ -134,7 +134,7 @@ More [examples](./computer-vision-resource-container-config.md#example-docker-ru
 > [!IMPORTANT]
 > The `Eula`, `Billing`, and `ApiKey` options must be specified to run the container; otherwise, the container won't start.  For more information, see [Billing](#billing).
 
-If you need higher throughput (for example, when processing multi-page files), consider deploying multiple containers [on a Kubernetes cluster](deploy-computer-vision-on-premises.md), using [Azure Storage](/azure/storage/common/storage-account-create) and [Azure Queue](/azure/storage/queues/storage-queues-introduction).
+<!--If you need higher throughput (for example, when processing multi-page files), consider deploying multiple containers [on a Kubernetes cluster](deploy-computer-vision-on-premises.md), using [Azure Storage](/azure/storage/common/storage-account-create) and [Azure Queue](/azure/storage/queues/storage-queues-introduction).-->
 
 If you're using Azure Storage to store images for processing, you can create a [connection string](/azure/storage/common/storage-configure-connection-string) to use when calling the container.
 

articles/ai-services/computer-vision/concept-describe-images-40.md

@@ -8,35 +8,37 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 01/19/2024
+ms.date: 09/25/2024
 ms.author: pafarley
 ---
 
 # Image captions (version 4.0)
-Image captions in Image Analysis 4.0 are available through the **Caption** and **Dense Captions** features. 
 
-Caption generates a one-sentence description for all image contents. Dense Captions provides more detail by generating one-sentence descriptions of up to 10 regions of the image in addition to describing the whole image. Dense Captions also returns bounding box coordinates of the described image regions. Both these features use the latest groundbreaking Florence-based AI models. 
+Image captions in Image Analysis 4.0 are available through the **Caption** and **Dense Captions** features.
 
-At this time, image captioning is available in English only.
+The Caption feature generates a one-sentence description of all the image contents. Dense Captions provides more detail by generating one-sentence descriptions of up to 10 different regions of the image in addition to describing the whole image. Dense Captions also returns bounding box coordinates of the described image regions. Both of these features use the latest Florence-based AI models.
+
+Image captioning is available in English only.
 
 > [!IMPORTANT]
-> Image captioning in Image Analysis 4.0 is only available in certain Azure data center regions: see [Region availability](./overview-image-analysis.md#region-availability). You must use a Vision resource located in one of these regions to get results from Caption and Dense Captions features.
+> Image captioning in Image Analysis 4.0 is only available in certain Azure data center regions: see [Region availability](./overview-image-analysis.md#region-availability). You must use an Azure AI Vision resource located in one of these regions to get results from Caption and Dense Captions features.
 >
-> If you have to use a Vision resource outside these regions to generate image captions, please use [Image Analysis 3.2](concept-describing-images.md) which is available in all Azure AI Vision regions.  
+> If you need to use a Vision resource outside these regions to generate image captions, please use [Image Analysis 3.2](concept-describing-images.md) which is available in all Azure AI Vision regions.
 
 Try out the image captioning features quickly and easily in your browser using Vision Studio.
 
 > [!div class="nextstepaction"]
 > [Try Vision Studio](https://portal.vision.cognitive.azure.com/)
 
-### Gender-neutral captions
-Captions contain gender terms ("man", "woman", "boy" and "girl") by default. You have the option to replace these terms with "person" in your results and receive gender-neutral captions. You can do so by setting the optional API request parameter, **gender-neutral-caption** to `true` in the request URL.
+## Gender-neutral captions
+
+By default, captions contain gender terms ("man", "woman", "boy" and "girl"). You have the option to replace these terms with "person" in your results and receive gender-neutral captions. You can do so by setting the optional API request parameter `gender-neutral-caption` to `true` in the request URL.
 
 ## Caption and Dense Captions examples
 
 #### [Caption](#tab/image)
 
-The following JSON response illustrates what the Analysis 4.0 API returns when describing the example image based on its visual features.
+The following JSON response illustrates what the Image Analysis 4.0 API returns when describing the example image based on its visual features.
 
 ![Photo of a man pointing at a screen](./Media/quickstarts/presentation.png)
 
@@ -51,7 +53,7 @@ The following JSON response illustrates what the Analysis 4.0 API returns when d
 
 #### [Dense Captions](#tab/dense)
 
-The following JSON response illustrates what the Analysis 4.0 API returns when generating dense captions for the example image.
+The following JSON response illustrates what the Image Analysis 4.0 API returns when generating dense captions for the example image.
 
 ![Photo of a tractor on a farm](./Images/farm.png)
 

articles/ai-services/computer-vision/concept-describing-images.md

@@ -8,15 +8,15 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 04/30/2024
+ms.date: 09/25/2024
 ms.author: pafarley
 ---
 
 # Image descriptions
 
-Azure AI Vision can analyze an image and generate a human-readable phrase that describes its contents. The algorithm returns several descriptions based on different visual features, and each description is given a confidence score. The final output is a list of descriptions ordered from highest to lowest confidence.
+Azure AI Vision can analyze an image and generate a human-readable phrase that describes its contents. The service returns several descriptions based on different visual features, and each description is given a confidence score. The final output is a list of descriptions ordered from highest to lowest confidence.
 
-At this time, English is the only supported language for image description.
+English is the only supported language for image descriptions.
 
 Try out the image captioning features quickly and easily in your browser using Vision Studio.
 
@@ -25,7 +25,7 @@ Try out the image captioning features quickly and easily in your browser using V
 
 ## Image description example
 
-The following JSON response illustrates what the Analyze API returns when describing the example image based on its visual features.
+The following JSON response illustrates what the Analyze Image API returns when describing the example image based on its visual features.
 
 ![A black and white picture of buildings in Manhattan](./Images/bw_buildings.png)