updating managed deployment article date to reflect changes done for Build

Author: msakande

articles/ai-foundry/how-to/deploy-models-managed.md

@@ -7,7 +7,7 @@ ms.service: azure-ai-foundry
 ms.custom:
   - build-2024
 ms.topic: how-to
-ms.date: 03/24/2025
+ms.date: 05/19/2025
 ms.reviewer: fasantia 
 reviewer: santiagxf
 ms.author: mopeakande
@@ -16,7 +16,7 @@ author: msakande
 
 # How to deploy and inference a managed compute deployment with code
 
-The Azure AI Foundry portal [model catalog](../how-to/model-catalog-overview.md) offers over 1,600 models, and the most common way to deploy these models is to use the managed compute deployment option, which is also sometimes referred to as a managed online deployment. 
+The Azure AI Foundry portal [model catalog](../how-to/model-catalog-overview.md) offers over 1,600 models, and a common way to deploy these models is to use the managed compute deployment option, which is also sometimes referred to as a managed online deployment. 
 
 Deployment of a large language model (LLM) makes it available for use in a website, an application, or other production environment. Deployment typically involves hosting the model on a server or in the cloud and creating an API or other interface for users to interact with the model. You can invoke the deployment for real-time inference of generative AI applications such as chat and copilot.