minor edits

Author: sdgilley

articles/machine-learning/prompt-flow/concept-llmops-maturity.md

@@ -18,7 +18,7 @@ Large Language Operations, or **LLMOps**, describes the operational practices an
 
 :::image type="content" source="../media/concept-llmops-maturity/llmopsml.png" alt-text="Diagram shows maturity level of LLMOps":::
 
-Use this [questionnaire]() to assesses your organization's current LLMOps maturity level. The questionnaire is designed to help you understand your organization's current capabilities and identify areas for improvement.
+[**Start by answering this questionnaire**]() to assesses your organization's current LLMOps maturity level. The questionnaire is designed to help you understand your organization's current capabilities and identify areas for improvement.
 
 Your results from the questionnaire corresponds to a *LLMOps Maturity Model* ranking level, providing a general understanding and practical application level of your organization. These guidelines provide you with helpful links to expand your LLMOps knowledge base.  
 
@@ -43,7 +43,7 @@ To better understand LLMOps, consider available MS Learning courses and workshop
 - [***Microsoft Azure AI Fundaments: GenAI***](/training/paths/introduction-generative-ai/)
 - [***GenAI for Beginners Course***](https://techcommunity.microsoft.com/t5/educator-developer-blog/generative-ai-for-beginners-a-12-lesson-course/ba-p/3968583)
 
-## Level 2 - systemize LLMops development
+## Level 2 - systemizing LLMops development
 
 **Description:** Your organization has started to systematize LLM operations, with a focus on structured development and experimentation. However, there's room for more sophisticated integration and optimization.
 
@@ -60,7 +60,7 @@ To improve your capabilities and skills, learn how to develop more complex promp
 - [***Azure Content Safety***](/azure/ai-services/content-safety/overview)
 - [***Responsible AI Tools and Practices***](https://azure.microsoft.com/en-us/blog/infuse-responsible-ai-tools-and-practices-in-your-llmops/#:~:text=Azure%20AI%20offers%20robust%20tools,or%20build%20your%20own%20metrics)
 
-## Level 3 - manage advanced workflows
+## Level 3 - managing advanced workflows
 
 **Description:** Your organization is managing advanced LLM workflows with proactive monitoring and structured deployment strategies. You're close to achieving operational excellence.
 
@@ -73,7 +73,7 @@ To expand your base knowledge, focus on continuous improvement and innovation in
 - [***GenAI Model Monitoring***]( /azure/machine-learning/prompt-flow/how-to-monitor-generative-ai-applications?view=azureml-api-2)
 - [***Elevate LLM Apps to Production with LLMOps***](https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/elevate-your-llm-applications-to-production-via-llmops/ba-p/3979114)
 
-## Level 4 - achieve operational excellence
+## Level 4 - achieved operational excellence
 
 **Description:** Your organization demonstrates operational excellence in LLMOps. You have a sophisticated approach to LLM application development, deployment, and monitoring.