updates

Author: aahill

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

@@ -3,7 +3,7 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: include
-ms.date: 11/21/2024
+ms.date: 05/23/2025
 ms.author: jboback
 ---
 
@@ -24,12 +24,6 @@ ms.author: jboback
 
     :::image type="content" source="../../../media/azure-portal-resource-credentials.png" alt-text="A screenshot showing the key and endpoint page in the Azure portal" lightbox="../../../media/azure-portal-resource-credentials.png":::
 
-## Import a new CLU fine-tuning project
-
-Once you have a Language resource or an Azure AI resource created, create a fine-tuning task and select Azure AI language and select Conversational language understanding as the task type. A task is a work area for building your custom models based on your data. Your task can only be accessed by you and others who have access to the resource being used. 
-
-For this quickstart, you can download [this sample](https://github.com/Azure-Samples/cognitive-services-sample-data-files/blob/master/language-service/CLU/EmailAppDemo.json) and import it. This task can predict the intended commands from user input, such as: reading emails, deleting emails, and attaching a document to an email. 
-
 ## Import a new CLU sample project
 
 Once you have a Language resource created, create a conversational language understanding project. A project is a work area for building your custom ML models based on your data. Your project can only be accessed by you and others who have access to the Language resource being used.