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Update articles/machine-learning/prompt-flow/how-to-end-to-end-llmops-with-prompt-flow.md
Co-authored-by: Lauryn Gayhardt <[email protected]>
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articles/machine-learning/prompt-flow/how-to-end-to-end-llmops-with-prompt-flow.md

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@@ -66,7 +66,7 @@ The GenAIOps lifecycle comprises four distinct stages:
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By adhering to this structured methodology, prompt flow empowers you to confidently develop, rigorously test, fine-tune, and deploy flows, leading to the creation of robust and sophisticated AI applications.
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The GenAIOps Prompt Flow template formalizes this structured methodology by using a code-first approach, and helps you build LLM-infused apps using prompt flow tools and process and GenAIOps prompt flow features. This template is available at [GenAIOps with prompt flow template](https://github.com/microsoft/genaiops-promptflow-template).
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The GenAIOps prompt flow template formalizes this structured methodology by using a code-first approach, and helps you build LLM-infused apps using prompt flow tools and process and GenAIOps prompt flow features. This template is available at [GenAIOps with prompt flow template](https://github.com/microsoft/genaiops-promptflow-template).
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## GenAIOps process flow
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