Update deploy-models-managed.md

Author: sdgilley

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

@@ -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 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. 
 
 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.