edit for pub

Author: laujan

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

@@ -3,11 +3,11 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: include
-ms.date: 05/23/2025
+ms.date: 08/14/2025
 ms.author: lajanuar
 ---
 
-Use this article to get started with Conversational Language understanding using Azure AI Foundry or the REST API.
+Use this article to get started with Conversational Language Understanding (CLU) using Azure AI Foundry or the REST API.
 
 ## Prerequisites
 
@@ -22,13 +22,13 @@ Use this article to get started with Conversational Language understanding using
 ## Get your resource keys and endpoint
 
 1. Go to your resource overview page in the [Azure portal](https://portal.azure.com/#home).
-2. From the menu on the left side, select **Keys and Endpoint**. You will use the endpoint and key for the API requests 
+2. From the menu on the left side, select **Keys and Endpoint**. You need the endpoint and key for API requests.
 
     :::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 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.
+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. Only you and others who have access to the language resource being used can access your project.
 
 For this quickstart, you can download [this sample project](https://go.microsoft.com/fwlink/?linkid=2196152) and import it. This project can predict the intended commands from user input, such as: reading emails, deleting emails, and attaching a document to an email. 
 
@@ -56,15 +56,15 @@ Typically, after you create a project, you should [build schema](../../how-to/bu
 
 ### Get the training job status
 
-Training may take time to complete - sometimes between 10 and 30 minutes. You can use the following request to keep polling the status of the training job until it is successfully completed.
+Training may take time to complete - sometimes between 10 and 30 minutes. You can use the following request to keep polling the status of the training job until it successfully completes.
 
  [!INCLUDE [get training model status](../rest-api/get-training-status.md)]
 
 
 
 ## Deploy your model
 
-Generally after training a model you would review its evaluation details. In this quickstart, you will just deploy your model, and call the [prediction API](https://aka.ms/clu-apis) to query the results.
+Generally after training a model you would review its evaluation details. In this quickstart, you deploy your model and call the [prediction API](https://aka.ms/clu-apis) to query the results.
 
 ### Submit deployment job