Address PR review feedback

Author: eric-urban

articles/ai-studio/how-to/costs-plan-manage.md

@@ -112,11 +112,11 @@ Models deployed as a service using pay-as-you-go are offered through the Azure M
 
 1. Select a view such as **Resources**. The cost associated with each resource is displayed.
 
-    :::image type="content" source="../media/cost-management/marketplace/costs-maas-cost-analysis.png" alt-text="A screenshot of the Cost Analysis tool displaying how to show cost per resource.":::
+    :::image type="content" source="../media/cost-management/marketplace/costs-model-as-service-cost-analysis.png" alt-text="A screenshot of the Cost Analysis tool displaying how to show cost per resource.":::
 
 1. On the **Type** column, select the filter icon to filter all the resources of type **microsoft.saas/resources**. This type corresponds to resources created from offers from the Azure Marketplace. For convenience, you can filter by resource types containing the string **SaaS**. 
 
-    :::image type="content" source="../media/cost-management/marketplace/costs-maas-cost-filter.png" alt-text="A screenshot of how to filter by resource type containing the string 'SaaS'":::
+    :::image type="content" source="../media/cost-management/marketplace/costs-model-as-service-cost-filter.png" alt-text="A screenshot of how to filter by resource type containing the string 'SaaS'.":::
 
 1. One resource is displayed for each model offer per project. Naming of those resources is `[Model offer name]-[GUID]`.
 
@@ -127,7 +127,7 @@ Models deployed as a service using pay-as-you-go are offered through the Azure M
 
     Some model providers might use the same name for both.
 
-    :::image type="content" source="../media/cost-management/marketplace/costs-maas-cost-details.png" alt-text="A screenshot showing different resources corresponding to different model offers and their associated meters.":::
+    :::image type="content" source="../media/cost-management/marketplace/costs-model-as-service-cost-details.png" alt-text="A screenshot showing different resources corresponding to different model offers and their associated meters.":::
 
     > [!TIP]
     > Remember that one resource is created per each project, per each plan your project subscribes to.

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

@@ -49,13 +49,13 @@ To create a deployment:
 
 1. On the detail page, select **Deploy** and then **Pay-as-you-go**.
 
-    :::image type="content" source="../media/deploy-monitor/llama/deploy-pay-as-you-go.png" alt-text="An screenshot showing how to deploy a model with the pay-as-you-go option." lightbox="../media/deploy-monitor/llama/deploy-pay-as-you-go.png":::
+    :::image type="content" source="../media/deploy-monitor/llama/deploy-pay-as-you-go.png" alt-text="A screenshot showing how to deploy a model with the pay-as-you-go option." lightbox="../media/deploy-monitor/llama/deploy-pay-as-you-go.png":::
 
 1. Select the project where you want to create a deployment.
 
 1. On the deployment wizard, you see the option to explore the more terms and conditions applied to the selected model and its pricing. Select **Azure Marketplace Terms** to learn about it.
 
-    :::image type="content" source="../media/deploy-monitor/llama/deploy-marketplace-terms.png" alt-text="An screenshot showing the terms and conditions of a given model." lightbox="../media/deploy-monitor/llama/deploy-marketplace-terms.png":::
+    :::image type="content" source="../media/deploy-monitor/llama/deploy-marketplace-terms.png" alt-text="A screenshot showing the terms and conditions of a given model." lightbox="../media/deploy-monitor/llama/deploy-marketplace-terms.png":::
 
 1. If this is the first time you deployed the model in the project, you have to sign up your project for the particular offering from the Azure Marketplace. Each project has its own connection to the marketplace's offering, which, allows you to control and monitor spending per project. Select **Subscribe and Deploy**.
 
@@ -64,11 +64,11 @@ To create a deployment:
 
 1. Once you sign up the project for the offering, subsequent deployments don't require signing up (neither subscription-level permissions). If this is your case, select **Continue to deploy**.
 
-    :::image type="content" source="../media/deploy-monitor/llama/deploy-pay-as-you-go-project.png" alt-text="An screenshot showing a project that is already subscribed to the offering." lightbox="../media/deploy-monitor/llama/deploy-pay-as-you-go-project.png":::
+    :::image type="content" source="../media/deploy-monitor/llama/deploy-pay-as-you-go-project.png" alt-text="A screenshot showing a project that is already subscribed to the offering." lightbox="../media/deploy-monitor/llama/deploy-pay-as-you-go-project.png":::
 
 1. Give the deployment a name. Such name is part of the deployment API URL, which requires to be unique on each Azure region.
 
-    :::image type="content" source="../media/deploy-monitor/llama/deployment-name.png" alt-text="An screenshot showing how to indicate the name of the deployment you want to create." lightbox="../media/deploy-monitor/llama/deployment-name.png":::
+    :::image type="content" source="../media/deploy-monitor/llama/deployment-name.png" alt-text="A screenshot showing how to indicate the name of the deployment you want to create." lightbox="../media/deploy-monitor/llama/deployment-name.png":::
 
 1. Select **Deploy**.
 
@@ -433,13 +433,11 @@ For reference about how to invoke Llama 2 models deployed to real-time endpoints
 
 ### Considerations for Llama 2 models deployed as a service
 
-Llama models deployed as a service are offered by Meta through the Azure Marketplace and integrated with Azure AI Studio for use. You can find the Azure Marketplace pricing when deploying or [fine-tuning the models](./fine-tune-model-llama.md). The following prices are shown only as an example of where you can see the pricing for a particular model:
-
-:::image type="content" source="../media/cost-management/marketplace/deploy-maas-costs.png" alt-text="A screenshot showing where you can find pricing for a particular offering."  lightbox="../media/cost-management/marketplace/deploy-maas-costs.png":::
+Llama models deployed as a service are offered by Meta through the Azure Marketplace and integrated with Azure AI Studio for use. You can find the Azure Marketplace pricing when deploying or [fine-tuning the models](./fine-tune-model-llama.md). 
 
 Each time a project subscribes to a given offer from the Azure Marketplace, a new resource is created to track the costs associated with its consumption. The same resource is used to track costs associated with inference and fine tuning, However, multiple meters are available to track each scenario independently. See [monitor costs for models offered throughout the Azure Marketplace](./costs-plan-manage.md#monitor-costs-for-models-offered-through-the-azure-marketplace) to learn more about how to track costs.
 
-:::image type="content" source="../media/cost-management/marketplace/costs-maas-cost-details.png" alt-text="A screenshot showing different resources corresponding to different model offers and their associated meters."  lightbox="../media/cost-management/marketplace/deploy-maas-costs.png":::
+:::image type="content" source="../media/cost-management/marketplace/costs-model-as-service-cost-details.png" alt-text="A screenshot showing different resources corresponding to different model offers and their associated meters."  lightbox="../media/cost-management/marketplace/deploy-model-as-service-cost-details.png":::
 
 Quota is managed per deployment. Each deployment has a rate limit of 20,000 tokens per minute. However, we currently limit one deployment per model per project. Contact Microsoft Azure Support if the current rate limits don’t suffice your scenarios.
 

articles/ai-studio/how-to/fine-tune-model-llama.md

@@ -62,7 +62,7 @@ Here are some example datasets on Hugging Face that you can use to fine-tune you
 
 - [SetFit/mrpc](https://huggingface.co/datasets/SetFit/mrpc)
 
-    :::image type="content" source="../media/how-to/fine-tune/dataset-setfit-mrpc.png" alt-text="Screenshot of example mrpc data on Hugging Face." lightbox="../media/how-to/fine-tune/dataset-setfit-mrpc.png":::
+    :::image type="content" source="../media/how-to/fine-tune/dataset-setfit-mrpc.png" alt-text="Screenshot of example Microsoft Research Paraphrase Corpus (MRPC) data on Hugging Face." lightbox="../media/how-to/fine-tune/dataset-setfit-mrpc.png":::
 
 Single text classification requires the training data to include at least two fields such as `text1` and `label`. Text pair classification requires the training data to include at least three fields such as `text1`, `text2`, and `label`.