Merge pull request #726 from msakande/patch-1

Add headings to sections of model catalog overview

Author: prmerger-automator[bot]

articles/ai-studio/how-to/model-catalog-overview.md

@@ -53,6 +53,8 @@ For more information on Azure OpenAI models, see [What is Azure OpenAI Service?]
 The model catalog offers two distinct ways to deploy models for your use: managed compute and serverless APIs.
 
 The deployment options and features available for each model vary, as described in the following tables. [Learn more about data processing with the deployment options]( concept-data-privacy.md).
+
+### Capabilities of model deployment options
 <!-- docutune:disable -->
 
 Features | Managed compute | Serverless API (pay-as-you-go)
@@ -62,6 +64,8 @@ API authentication | Keys and Microsoft Entra authentication. | Keys only.
 Content safety | Use Azure AI Content Safety service APIs. | Azure AI Content Safety filters are available integrated with inference APIs. Azure AI Content Safety filters are billed separately.
 Network isolation | [Configure managed networks for Azure AI Studio hubs](configure-managed-network.md).  | Managed compute follow your hub's public network access (PNA) flag setting. For more information, see the [Network isolation for models deployed via Serverless APIs](#network-isolation-for-models-deployed-via-serverless-apis) section later in this article.
 
+### Available models for supported deployment options
+
 Model | Managed compute | Serverless API (pay-as-you-go)
 --|--|--
 Llama family models | Llama-2-7b <br> Llama-2-7b-chat <br> Llama-2-13b <br> Llama-2-13b-chat <br> Llama-2-70b <br> Llama-2-70b-chat <br> Llama-3-8B-Instruct <br> Llama-3-70B-Instruct <br> Llama-3-8B <br> Llama-3-70B | Llama-3-70B-Instruct <br> Llama-3-8B-Instruct <br> Llama-2-7b <br> Llama-2-7b-chat <br> Llama-2-13b <br> Llama-2-13b-chat <br> Llama-2-70b <br> Llama-2-70b-chat