Fix for acrolinx.

Author: Sherry Yang

learn-pr/wwl-data-ai/get-started-generative-ai-azure/includes/2-generative-ai.md

@@ -11,7 +11,7 @@ Generative AI often appears as chat-based assistants that are integrated into ap
 
 ## Understand agents 
 
-Generative AI that can executes tasks such as filing taxes or coordinating shipping arrangements, just as a few examples, are known as *agents*. **Agents** are applications that can respond to user input or assess situations *autonomously*, and take appropriate actions. These actions could help with a series of tasks. For example, an "executive assistant" agent could provide details about the location of a meeting on your calendar, then attach a map or automate the booking of a taxi or rideshare service to help you get there.  
+Generative AI that can execute tasks such as filing taxes or coordinating shipping arrangements, just as a few examples, are known as *agents*. **Agents** are applications that can respond to user input or assess situations *autonomously*, and take appropriate actions. These actions could help with a series of tasks. For example, an "executive assistant" agent could provide details about the location of a meeting on your calendar, then attach a map or automate the booking of a taxi or rideshare service to help you get there.  
 
 Agents contain three main components: 
 - A language model that powers reasoning and language understanding

learn-pr/wwl-data-ai/get-started-generative-ai-azure/includes/4-model-catalog.md

@@ -6,7 +6,7 @@ Azure AI Foundry provides a comprehensive and dynamic marketplace containing mod
 
 You can deploy the models from Azure AI Foundry model catalog to an endpoint without any extra training. If you want the model to be specialized in a task, or perform better on domain-specific knowledge, you can also choose to customize a foundation model.
 
-To choose the model that best fits your needs, you can test out different models in a *playground* setting and utilize *model leaderboards (preview)*. Model leaderboards provide a way to see what models are performing best in different criteria such as quality, cost, and throughput. You can also see graphical comparisions of models based on specific metrics.
+To choose the model that best fits your needs, you can test out different models in a *playground* setting and utilize *model leaderboards (preview)*. Model leaderboards provide a way to see what models are performing best in different criteria such as quality, cost, and throughput. You can also see graphical comparisons of models based on specific metrics.
 
 ![Screenshot of comparison of models in Azure AI Foundry portal.](../media/model-benchmarks-comparision.png)