touchup

Author: v-thepet

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

@@ -12,12 +12,12 @@ ms.topic: how-to
 author: lgayhardt
 ms.author: lagayhar
 ms.reviewer: chenlujiao
-ms.date: 10/17/2024
+ms.date: 10/18/2024
 ---
 
 # GenAIOps with prompt flow and GitHub
 
-As the demand for LLM-infused applications soars, organizations need of a cohesive and streamlined process to manage the end-to-end lifecycle of these apps. Generative Artificial Intelligence Operations (GenAIOps), sometimes called *LLMOps*, is a cornerstone of efficient prompt engineering and LLM-infused application development and deployment.
+As the demand for LLM-infused applications soars, organizations need a cohesive and streamlined process to manage the end-to-end lifecycle of these apps. Generative Artificial Intelligence Operations (GenAIOps), sometimes called *LLMOps*, is a cornerstone of efficient prompt engineering and LLM-infused application development and deployment.
 
 This article shows how Azure Machine Learning lets you integrate with GitHub to automate the LLM-infused application development lifecycle with prompt flow. Prompt flow provides a streamlined and structured approach to developing LLM-infused applications. Its well-defined process and lifecycle guide you through the process of building, testing, optimizing, and deploying flows, culminating in the creation of fully functional LLM-infused solutions.