address feedback from reviewer

Author: msakande

articles/ai-foundry/model-inference/faq.yml

@@ -12,7 +12,7 @@ metadata:
   author: santiagxf
 title: Foundry Models frequently asked questions
 summary: |
-  If you can't find answers to your questions in this document, and still need help check the [Azure AI Foundry services (formerly known Azure AI Services)support options guide](../../ai-services/cognitive-services-support-options.md?context=/azure/ai-services/openai/context/context).
+  If you can't find answers to your questions in this document, and still need help check the [Azure AI Foundry services (formerly known Azure AI Services) support options guide](../../ai-services/cognitive-services-support-options.md?context=/azure/ai-services/openai/context/context).
 sections:
   - name: General
     questions:
@@ -88,13 +88,13 @@ sections:
       - question: |
           Where can I see the bill details?
         answer: |
-          Billing and costs are displayed in [Azure Cost Management + Billing](/azure/cost-management-billing/understand/download-azure-daily-usage). You can see the usage details in the [Azure portal](https://portal.azure.com).
+          Billing and costs are displayed in [Microsoft Cost Management + Billing](/azure/cost-management-billing/understand/download-azure-daily-usage). You can see the usage details in the [Azure portal](https://portal.azure.com).
 
           Billing isn't shown in Azure AI Foundry portal.
       - question: |
           How can I place a spending limit to my bill?
         answer: |
-          You can set up a spending limit in the [Azure portal](https://portal.azure.com) under **Azure Cost Management + Billing**. This limit prevents you from spending more than the limit you set. Once spending limit is reached, the subscription will be disabled and you won't be able to use the endpoint until the next billing cycle.
+          You can set up a spending limit in the [Azure portal](https://portal.azure.com) under **Microsoft Cost Management + Billing**. This limit prevents you from spending more than the limit you set. Once spending limit is reached, the subscription will be disabled and you won't be able to use the endpoint until the next billing cycle.
   - name: Data and Privacy
     questions:
       - question: |

articles/ai-foundry/model-inference/how-to/configure-marketplace.md

@@ -15,7 +15,7 @@ Certain models in AI Foundry Models are offered directly by the model provider t
 > [!TIP]
 > All models offered in AI Foundry Models are hosted in Microsoft's Azure environment and the Service does NOT interact with any external services or model provider.
 
-:::image type="content" source="../media/configure-marketplace/azure-marketplace-3p.png" alt-text="An diagram with the overall architecture of Azure Marketplace integration with AI Foundry Models." lightbox="../media/configure-marketplace/azure-marketplace-3p.png":::
+:::image type="content" source="../media/configure-marketplace/azure-marketplace-3p.png" alt-text="A diagram with the overall architecture of Azure Marketplace integration with AI Foundry Models." lightbox="../media/configure-marketplace/azure-marketplace-3p.png":::
 
 [!INCLUDE [marketplace-rbac](../includes/configure-marketplace/rbac.md)]
 

articles/ai-foundry/model-inference/how-to/manage-costs.md

@@ -25,7 +25,7 @@ Although this article is about planning for and managing costs for Azure AI Foun
 ## Understand Foundry Models billing model
 
 
-Language models understand and process inputs by breaking them down into tokens. For reference, each token is roughly four characters for typical English text. Models that can process images or audio break down them into tokens too for billing purposes. The number of tokens per image or audio content depends on the model and the resolution of the input.
+Language models understand and process inputs by breaking them down into tokens. For reference, each token is roughly four characters for typical English text. Models that can process images or audio break them down into tokens too for billing purposes. The number of tokens per image or audio content depends on the model and the resolution of the input.
 
 Costs per token vary depending on which model series you choose but in all cases models deployed in Azure AI Foundry are charged per 1,000 tokens. Token costs are for both input and output. For example, suppose you have a 1,000 token JavaScript code sample that you ask a model to convert to Python. You would be charged approximately 1,000 tokens for the initial input request sent, and 1,000 more tokens for the output that is received in response for a total of 2,000 tokens.