freshness updates

Author: aahill

articles/ai-services/language-service/concepts/data-limits.md

@@ -6,7 +6,7 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: conceptual
-ms.date: 04/29/2025
+ms.date: 05/23/2025
 ms.author: jboback
 ---
 

articles/ai-services/language-service/conversational-language-understanding/how-to/migrate-from-luis.md

@@ -6,7 +6,7 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: how-to
-ms.date: 04/29/2025
+ms.date: 05/23/2025
 ms.author: jboback
 ms.custom: language-service-clu
 ---
@@ -33,7 +33,7 @@ The following table presents a side-by-side comparison between the features of L
 |Machine-learned and Structured ML entities| Learned [entity components](#how-are-entities-different-in-clu) |Machine-learned entities without subentities are transferred as CLU entities. Structured ML entities only transfer leaf nodes (lowest level subentities that don't have their own subentities) as entities in CLU. The name of the entity in CLU is the name of the subentity concatenated with the parent. For example, _Order.Size_|
 |List, regex, and prebuilt entities| List, regex, and prebuilt [entity components](#how-are-entities-different-in-clu) | List, regex, and prebuilt entities are transferred as entities in CLU with a populated entity component based on the entity type.|
 |`Pattern.Any` entities| Not currently available | `Pattern.Any` entities are removed.|
-|Single culture for each application|[Multilingual models](#how-is-conversational-language-understanding-multilingual) enable multiple languages for each project. |The primary language of your project are set as your LUIS application culture. Your project can be trained to extend to different languages.|
+|Single culture for each application|[Multilingual models](#how-is-conversational-language-understanding-multilingual) enable multiple languages for each project. |The primary language of your project is set as your LUIS application culture. Your project can be trained to extend to different languages.|
 |Entity roles  |[Roles](#how-are-entity-roles-transferred-to-clu) are no longer needed. | Entity roles are transferred as entities.|
 |Settings for: normalize punctuation, normalize diacritics, normalize word form, use all training data  |[Settings](#how-is-the-accuracy-of-clu-better-than-luis) are no longer needed. |Settings aren't transferred.  |
 |Patterns and phrase list features|[Patterns and Phrase list features](#how-is-the-accuracy-of-clu-better-than-luis) are no longer needed. |Patterns and phrase list features aren't transferred.  |

articles/ai-services/language-service/conversational-language-understanding/includes/quickstarts/language-studio.md

@@ -46,7 +46,7 @@ In a large corporation, an enterprise chat bot may handle various employee affai
 
 ### Agents
 
-CLU is utilized by the [intent routing](https://aka.ms/intent-triage-agent-template) agent template, which detects user intent and provides exact answering. Perfect for deterministically intent routing and exact question answering with human control.
+CLU is utilized by the [intent routing](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/agent-catalog/msft-agent-samples/foundry-agent-service-sdk/intent-routing-agent) agent template, which detects user intent and provides exact answering. Perfect for deterministically intent routing and exact question answering with human control.
 
 ## Project development lifecycle
 

articles/ai-services/language-service/conversational-language-understanding/overview.md

@@ -6,28 +6,17 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: quickstart
-ms.date: 05/01/2025
+ms.date: 05/23/2025
 ms.author: jboback
 ms.custom: language-service-clu, mode-other
-zone_pivot_groups: usage-custom-language-features-foundry
 ---
 
 # Quickstart: Conversational language understanding 
 
 Use this article to get started with Conversational Language understanding using Azure AI Foundry and the REST API. Follow these steps to try out an example.
 
-::: zone pivot="azure-ai-foundry"
-
-[!INCLUDE [Language Studio quickstart](includes/quickstarts/language-studio.md)]
-
-::: zone-end
-
-::: zone pivot="rest-api"
-
 [!INCLUDE [REST API quickstart](includes/quickstarts/rest-api.md)]
 
-::: zone-end
-
 ## Next steps
 
 * [Learn about entity components](concepts/entity-components.md)

articles/ai-services/language-service/conversational-language-understanding/quickstart.md

@@ -6,7 +6,7 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: conceptual
-ms.date: 04/29/2025
+ms.date: 05/23/2025
 ms.author: jboback
 ms.custom: language-service-ner
 ---

articles/ai-services/language-service/named-entity-recognition/concepts/named-entity-categories.md

@@ -6,7 +6,7 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: quickstart
-ms.date: 04/29/2025
+ms.date: 05/23/2025
 ms.author: jboback
 ms.devlang: csharp
 # ms.devlang: csharp, java, javascript, python

articles/ai-services/language-service/personally-identifiable-information/quickstart.md

@@ -847,15 +847,6 @@ groups:
     title: Language Studio
   - id: rest-api
     title: REST API
-- id: usage-custom-language-features-foundry
-# Owner jboback
-  title: Usage methods
-  prompt: Choose your preferred usage method
-  pivots:
-  - id: azure-ai-foundry
-    title: Azure AI Foundry
-  - id: rest-api
-    title: REST API
 - id: programming-languages-text-analytics
 # Owner jboback
   title: Programming languages