Merge pull request #3194 from santiagxf/santiagxf/create-resource-refresh

Update create resource tutorial with images

Author: v-shils

articles/ai-foundry/model-inference/includes/create-resources/bicep.md

@@ -30,19 +30,9 @@ The files for this example are in:
 cd azureai-model-inference-bicep/infra
 ```
 
-## Understand the resources
-
-The tutorial helps you create:
-
-> [!div class="checklist"]
-> * An Azure AI Services resource.
-> * A model deployment in the Global standard SKU for each of the models supporting pay-as-you-go.
-> * (Optionally) An Azure AI project and hub.
-> * (Optionally) A connection between the hub and the models in Azure AI Services.
-
-Notice that **you have to deploy an Azure AI project and hub** if you plan to use the Azure AI Foundry portal for managing the resource, using playground, or any other feature from the portal.
+## Create the resources
 
-You are using the following assets to create those resources:
+Follow these steps:
 
 1. Use the template `modules/ai-services-template.bicep` to describe your Azure AI Services resource:
 
@@ -72,10 +62,6 @@ You are using the following assets to create those resources:
 
     :::code language="bicep" source="~/azureai-model-inference-bicep/infra/modules/ai-services-connection-template.bicep":::
 
-## Create the resources
-
-In your console, follow these steps:
-
 1. Define the main deployment:
 
     __deploy-with-project.bicep__

articles/ai-foundry/model-inference/includes/create-resources/intro.md

@@ -11,6 +11,22 @@ ms.topic: include
 
 In this article, you learn how to create the resources required to use Azure AI model inference and consume flagship models from Azure AI model catalog.
 
+## Understand the resources
+
+Azure AI model inference is a capability in Azure AI Services resources in Azure. You can create model deployments under the resource to consume their predictions. You can also connect the resource to Azure AI Hubs and Projects in Azure AI Foundry to create intelligent applications if needed. The following picture shows the high level architecture.
+
+:::image type="content" source="../../media/create-resources/resources-architecture.png" alt-text="A diagram showing the high level architecture of the resources created in the tutorial." lightbox="../../media/create-resources/resources-architecture.png":::
+
+Azure AI Services resources don't require AI projects or AI hubs to operate and you can create them to consume flagship models from your applications. However, additional capabilities are available if you **deploy an Azure AI project and hub**, including playground, or agents.
+
+The tutorial helps you create:
+
+> [!div class="checklist"]
+> * An Azure AI Services resource.
+> * A model deployment for each of the models supported with pay-as-you-go.
+> * (Optionally) An Azure AI project and hub.
+> * (Optionally) A connection between the hub and the models in Azure AI Services.
+
 ## Prerequisites
 
 To complete this article, you need: