Update how-to-end-to-end-llmops-with-prompt-flow.md

Author: AbeOmor

articles/machine-learning/prompt-flow/how-to-end-to-end-llmops-with-prompt-flow.md

@@ -233,7 +233,7 @@ With the Prompt flow model registered in the Azure Machine Learning workspace, y
 
 ## Deploy prompt flow in Azure Machine Learning with GitHub Actions
 
-This scenario includes prebuilt workflows for two approaches to deploying a trained model, batch scoring or a deploying a model to an endpoint for real-time scoring. You may run either or both of these workflows to test the performance of the model in your Azure Machine Learning workspace.
+This scenario includes prebuilt workflows for deploying a model to an endpoint for real-time scoring. You may run the workflow to test the performance of the model in your Azure Machine Learning workspace.
 
 ### Online endpoint  
 
@@ -265,4 +265,4 @@ The sample Prompt flow run and evaluation and GitHub workflows can be used as a
 ## Next steps
 
 - [Install and set up Python SDK v2](https://aka.ms/sdk-v2-install)
-- [Install and set up Python CLI v2](../how-to-configure-cli.md)
+- [Install and set up Python CLI v2](../how-to-configure-cli.md)