ai-services url

Author: eric-urban

articles/advisor/advisor-reference-performance-recommendations.md

@@ -121,7 +121,7 @@ Learn more about [Cognitive Service - AzureAdvisor429LimitHit (429 Throttling De
 
 Upgrade to the latest API version to get the best results in terms of model quality, performance and service availability. Also there are new features available as new endpoints starting from V3.0 such as personally identifiable information recognition, entity recognition and entity linking available as separate endpoints. In terms of changes in preview endpoints we have opinion mining in SA endpoint, redacted text property in personally identifiable information endpoint
 
-Learn more about [Cognitive Service - UpgradeToLatestAPI (Upgrade to the latest Cognitive Service Text Analytics API version)](/azure/ai-services/text-analytics/how-tos/text-analytics-how-to-call-api).
+Learn more about [Cognitive Service - UpgradeToLatestAPI (Upgrade to the latest Cognitive Service Text Analytics API version)](/azure/ai-services/language-service/overview).
 
 ### Upgrade to the latest API version of Azure Cognitive Service for Language
 

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

@@ -5157,67 +5157,67 @@
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/csharp.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/text-analytics-sdk",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/go-sdk.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/client-libraries-rest-api",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/go.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/client-libraries-rest-api",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/java.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/client-libraries-rest-api",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/nodejs-sdk.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/text-analytics-sdk",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/nodejs.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/client-libraries-rest-api",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/php.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/client-libraries-rest-api",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/python-sdk.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/text-analytics-sdk",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/python.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/client-libraries-rest-api",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/ruby-sdk.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/client-libraries-rest-api",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/ruby.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/client-libraries-rest-api",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/text-analytics-sdk-v2.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/text-analytics-sdk",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/cognitive-services/text-analytics/quickstarts/text-analytics-sdk.md",
-            "redirect_url": "/azure/ai-services/text-analytics/quickstarts/client-libraries-rest-api",
+            "redirect_url": "/azure/ai-services/language-service/language-detection/overview",
             "redirect_document_id": false
         },
         {

articles/azure-health-insights/trial-matcher/transparency-note.md

@@ -42,7 +42,7 @@ Organizations can use the Trial Matcher model to match patients to potentially s
 Trial Matcher analyzes and matches clinical trial eligibility criteria and patients’ clinical information.
 Clinical trial eligibility criteria are extracted from clinical trials available on clinicaltrials.gov or provided by the service user as a custom trial. Patient clinical information is provided either as unstructured clinical note, FHIR  bundles or key-value schema.
 
-Trial Matcher uses [Text Analytics for health](https://docs.microsoft.com/azure/ai-services/language-service/text-analytics-for-health/overview?tabs=ner) to identify and extract medical entities in case the information provided is unstructured, either from clinical trial protocols from clinicaltrials.gov, custom trials and patient clinical notes.
+Trial Matcher uses [Text Analytics for health](/azure/ai-services/language-service/text-analytics-for-health/overview) to identify and extract medical entities in case the information provided is unstructured, either from clinical trial protocols from clinicaltrials.gov, custom trials and patient clinical notes.
 
 When Trial Matcher is in patient centric mode, it returns a list of potentially suitable clinical trials, based on the patient clinical information. When Trial Matcher is in trial centric mode, it     returns a list of patients who are potentially eligible for a clinical trial.   The Trial Matcher results should be reviewed by a human decision maker for a further full qualification.
 Trial Matcher results also include an explainability layer. When a patient appears to be ineligible for a trial, Trial Matcher provides evidence of why the patient is not eligible to meet the criteria of the specific trial.
@@ -78,7 +78,7 @@ We encourage customers to leverage Trial Matcher in their innovative solutions o
 
 ### Technical limitations, operational factors, and ranges
 * Trial Matcher is available only in English.
-* Since Trial Matcher is based on TA4H for analyzing unstructured text, please refer to [Text Analytics for health Transparency Note](https://learn.microsoft.com/legal/cognitive-services/language-service/transparency-note-health)
+* Since Trial Matcher is based on TA4H for analyzing unstructured text, please refer to [Text Analytics for health Transparency Note](/legal/cognitive-services/language-service/transparency-note-health?context=/azure/azure-health-insights/trial-matcher/context/context)
 for further information.
 
 
@@ -92,13 +92,11 @@ for further information.
 ## Learn more about responsible AI
 * [Microsoft AI principles](https://www.microsoft.com/ai/responsible-ai).
 * [Microsoft responsible AI resources](https://www.microsoft.com/ai/responsible-ai-resources).
-* [Microsoft Azure Learning courses on responsible AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/).
+* [Microsoft Azure Learning courses on responsible AI](/learn/paths/responsible-ai-business-principles/).
 
 
 ## Learn more about Text Analytics For Health
-[Text Analytics for Health Transparency Note](https://learn.microsoft.com/legal/cognitive-services/language-service/transparency-note-health).
-
-
+[Text Analytics for Health Transparency Note](/legal/cognitive-services/language-service/transparency-note-health?context=/azure/azure-health-insights/trial-matcher/context/context).
 
 
 ## About this document

articles/cognitive-services/Bing-News-Search/endpoint-news.md

@@ -52,4 +52,4 @@ Returns news topics that are currently trending on social networks. When the `/t
 For details about headers, parameters, market codes, response objects, errors, etc., see the [Bing News search API v7](/rest/api/cognitiveservices-bingsearch/bing-news-api-v7-reference) reference.
 
 For complete information about the parameters supported by each endpoint, see the reference pages for each type.
-For examples of basic requests using the News search API, see [Bing News Search Quick-starts](/azure/ai-services/bing-news-search).
+For examples of basic requests using the News search API, see [Bing News Search Quick-starts](/azure/cognitive-services/bing-news-search).

articles/machine-learning/how-to-use-openai-models-in-azure-ml.md

@@ -133,7 +133,7 @@ You might receive any of the following errors when you try to deploy an Azure Op
     - **Fix**: Unable to create the resource. Due to one of, the following reasons. You aren't in correct region, or you have exceeded the maximum limit of three Azure Open AI resources. You need to delete an existing Azure OpenAI resource or you need to make sure you created a workspace in one of the [supported regions](../ai-services/openai/concepts/models.md#model-summary-table-and-region-availability).
 
 - **Model Not Deployable**
-    - **Fix**: This usually happens while trying to deploy a GPT-4 model. Due to high demand you need to [apply for access to use GPT-4 models](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#gpt-4-models).
+    - **Fix**: This usually happens while trying to deploy a GPT-4 model. Due to high demand you need to [apply for access to use GPT-4 models](/azure/ai-services/openai/concepts/models#gpt-4-models).
 
 - **Resource Create Failed**
     - **Fix**: We tried to automatically create the Azure OpenAI resource but the operation failed. Try again on a new workspace.