Merge pull request #3135 from MicrosoftDocs/main

2/24/2025 AM Publish

Author: Taojunshen

.openpublishing.redirection.json

@@ -229,6 +229,16 @@
       "source_path_from_root": "/articles/ai-services/openai/references/azure-machine-learning.md",
       "redirect_url": "/azure/ai-services/openai/concepts/use-your-data",
       "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/open-datasets/dataset-covid-19-open-research.md",
+      "redirect_url": "/azure/open-datasets/dataset-catalog",
+      "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/open-datasets/dataset-genomics-data-lake.md",
+      "redirect_url": "/azure/open-datasets/dataset-catalog",
+      "redirect_document_id": false
     }
   ]
 }

articles/ai-foundry/model-inference/supported-languages.md

@@ -57,6 +57,8 @@ Azure OpenAI models can be consumed using the following SDKs and programming lan
 
 To use these SDKs, connect them to the [Azure OpenAI service URI](concepts/endpoints.md#azure-openai-inference-endpoint) (usually in the form `https://<resource-name>.openai.azure.com`).
 
+### OpenAI and Azure OpenAI SDK
+
 | Language   | Source code | Package | Examples |
 |------------|---------|-----|-------|
 | C#         | [Source code](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/openai/Azure.AI.OpenAI) | [Azure.AI.OpenAI (NuGet)](https://www.nuget.org/packages/Azure.AI.OpenAI/) | [C# examples](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/openai/Azure.AI.OpenAI/tests/Samples)       |

articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-java-multivariate.md

@@ -241,7 +241,7 @@ UUID resultId = UUID.fromString(substring[substring.length - 1]);
 DetectionResult detectionResult;
 while (true) {
     detectionResult = anomalyDetectorClient.getDetectionResult(resultId);
-    DetectionStatus detectionStatus = detectionResult.getSummary().getStatus();;
+    DetectionStatus detectionStatus = detectionResult.getSummary().getStatus();
     if (detectionStatus == DetectionStatus.READY || detectionStatus == DetectionStatus.FAILED) {
         break;
     }

articles/ai-services/document-intelligence/concept/accuracy-confidence.md

@@ -1,18 +1,18 @@
 ---
-title:  Interpret and improve model accuracy and analysis confidence scores
+title:  Interpret and improve model accuracy and confidence scores
 titleSuffix: Azure AI services
-description: Best practices to interpret the accuracy score from the train model operation and the confidence score from analysis operations.
+description: Best practices to interpret and improve Azure AI Document Intelligence accuracy scores from train model operations and confidence scores from analysis operations.
 author: laujan
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: conceptual
-ms.date: 11/19/2024
+ms.date: 02/21/2025
 ms.author: lajanuar
 ---
 
 <!-- markdownlint-disable MD033 -->
 
-# Interpret and improve model accuracy and analysis confidence scores
+# Interpret and improve accuracy and confidence scores
 
 A confidence score indicates probability by measuring the degree of statistical certainty that the extracted result is detected correctly. The estimated accuracy is calculated by running a few different combinations of the training data to predict the labeled values. In this article, learn to interpret accuracy and confidence scores and best practices for using those scores to improve accuracy and confidence results.
 

articles/ai-services/document-intelligence/how-to-guides/includes/v4-0/java-sdk.md

@@ -177,7 +177,7 @@ String documentUrl = "https://raw.githubusercontent.com/Azure-Samples/cognitive-
 String modelId = "prebuilt-read";
 
 SyncPoller < OperationResult, AnalyzeResult > analyzeLayoutResultPoller =
-  client.beginAnalyzeDocument(modelId, invoiceUrl);;
+  client.beginAnalyzeDocument(modelId, invoiceUrl);
 
 AnalyzeResult analyzeLayoutResult = analyzeLayoutResultPoller.getFinalResult().getAnalyzeResult();
 
@@ -338,7 +338,7 @@ String modelId = "prebuilt-document";
 SyncPoller < OperationResult, AnalyzeResult > analyzeDocumentPoller =
   client.beginAnalyzeDocument(modelId, generalDocumentUrl);
 
-AnalyzeResult analyzeResult = analyzeDocumentPoller.getFinalResult().getAnalyzeResult();;
+AnalyzeResult analyzeResult = analyzeDocumentPoller.getFinalResult().getAnalyzeResult();
 
 // pages
 analyzeResult.getPages().forEach(documentPage -> {

articles/ai-services/openai/how-to/stored-completions.md

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
 ms.custom: references_regions
-ms.date: 01/29/2025
+ms.date: 02/24/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -22,6 +22,10 @@ Stored completions allow you to capture the conversation history from chat compl
 
 Support first added in `2024-10-01-preview`
 
+### Deployment type
+
+Currently only `Standard` model deployments support stored completions.
+
 ### Model & region availability
 
 | **Region**     | **o1-preview**, **2024-09-12**   | **o1-mini**, **2024-09-12**   | **gpt-4o**, **2024-08-06**   | **gpt-4o**, **2024-05-13**  | **gpt-4o-mini**, **2024-07-18**   |

articles/ai-services/openai/includes/java.md

@@ -103,8 +103,8 @@ dependencies {
     public class GetCompletionsSample {
     
         public static void main(String[] args) {
-            String azureOpenaiKey = System.getenv("AZURE_OPENAI_API_KEY");;
-            String endpoint = System.getenv("AZURE_OPENAI_ENDPOINT");;
+            String azureOpenaiKey = System.getenv("AZURE_OPENAI_API_KEY");
+            String endpoint = System.getenv("AZURE_OPENAI_ENDPOINT");
             String deploymentOrModelId = "gpt-35-turbo-instruct";
     
             OpenAIClient client = new OpenAIClientBuilder()

articles/ai-services/openai/monitor-openai-reference.md

@@ -19,7 +19,7 @@ See [Monitor Azure OpenAI](./how-to/monitor-openai.md) for details on the data y
 
 ### Supported metrics for Microsoft.CognitiveServices/accounts
 
-Here are the most important metrics we think you should monitor for Azure OpenAI. Later in this article is a longer list of all available Azure AI services metrics which contains more details on metrics in this shorter list.
+Here are the most important metrics we think you should monitor for Azure OpenAI. Later in this article is a longer list of all available Azure AI services metrics which contains more details on metrics in this shorter list. _Please see below list for most up to date information. We're working on refreshing the tables in the following sections._
 
 - Azure OpenAI Requests
 - Active Tokens
@@ -42,9 +42,9 @@ You can also monitor Content Safety metrics that are used by other Azure AI serv
 - Safety System Event
 - Total Volume Sent for Safety Check 
 
-
 > [!NOTE]
 > The **Provisioned-managed Utilization** metric is now deprecated and is no longer recommended. This metric has been replaced by the **Provisioned-managed Utilization V2** metric.
+> Tokens per Second, Time to Response, Time Between Tokens are currently not available for pay-as-you-go (Standard) deployments. 
 
 Cognitive Services metrics have the category **Cognitive Services - HTTP Requests** in the following table. These metrics are legacy metrics that are common to all Azure AI Services resources. Microsoft no longer recommends that you use these metrics with Azure OpenAI.
 

articles/ai-services/speech-service/includes/language-support/viseme.md

@@ -109,8 +109,7 @@ ms.author: Zoubaolian
 | vi-VN           | Vietnamese (Vietnam) |Viseme ID|
 | zh-CN           | Chinese (Mandarin, Simplified)  |Viseme ID <br> Blend shapes|
 | zh-HK           | Chinese (Cantonese, Traditional)|Viseme ID|
-| zh-TW           | Chinese (Taiwanese Mandarin, Traditional)|Viseme ID|
-
+| zh-HK           | Chinese (Taiwanese Mandarin, Traditional)|Viseme ID (except `zh-TW-HsiaoYuNeural`)|