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

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author: ssahami1
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ms.author: sasahami
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ms.reviewer: sgilley; tahiguch; setuchokshi
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ms.date: 03/12/2024
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ms.date: 03/25/2024
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---
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# Advance your maturity level for Large Language Model Operations (LLMOps)
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:::image type="content" source="../media/concept-llmops-maturity/llmopsml.png" alt-text="Diagram shows maturity level of LLMOps" lightbox="../media/concept-llmops-maturity/llmopsml.png":::
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[**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.
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Use the descriptions below to find your *LLMOps Maturity Model* ranking level. These levels provide a general understanding and practical application level of your organization. The guidelines provide you with helpful links to expand your LLMOps knowledge base.
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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.
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## <a name="level1"></a>Level 1 - initial foundational stage
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## <a name="level1"></a>Level 1 - initial
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**Description:** Your organization is at the initial foundational stage of LLMOps maturity. You're exploring the capabilities of LLMs but haven't yet developed structured practices or systematic approaches.
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- [***Microsoft Azure AI Fundaments: GenAI***](/training/paths/introduction-generative-ai/)
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- [***GenAI for Beginners Course***](https://techcommunity.microsoft.com/t5/educator-developer-blog/generative-ai-for-beginners-a-12-lesson-course/ba-p/3968583)
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## <a name="level2"></a> Level 2 - systemizing LLMops development
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## <a name="level2"></a> Level 2 - defined
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**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.
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- [***Azure Content Safety***](/azure/ai-services/content-safety/overview)
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- [***Responsible AI Tools and Practices***](https://azure.microsoft.com/blog/infuse-responsible-ai-tools-and-practices-in-your-llmops/#:~:text=Azure%20AI%20offers%20robust%20tools,or%20build%20your%20own%20metrics)
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## <a name="level3"></a> Level 3 - managing advanced workflows
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## <a name="level3"></a> Level 3 - managed
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**Description:** Your organization is managing advanced LLM workflows with proactive monitoring and structured deployment strategies. You're close to achieving operational excellence.
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- [***GenAI Model Monitoring***](/azure/machine-learning/prompt-flow/how-to-monitor-generative-ai-applications)
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- [***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)
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## <a name="level4"></a> Level 4 - achieved operational excellence
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## <a name="level4"></a> Level 4 - optimized
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**Description:** Your organization demonstrates operational excellence in LLMOps. You have a sophisticated approach to LLM application development, deployment, and monitoring.
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articles/machine-learning/toc.yml

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href: ./prompt-flow/how-to-end-to-end-azure-devops-with-prompt-flow.md
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- name: Custom tool package creation and usage
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href: ./prompt-flow/how-to-custom-tool-package-creation-and-usage.md
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- name: Advance your maturity level
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href: ./prompt-flow/concept-llmops-maturity.md
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- name: Monitor generative AI applications in production
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href: ./prompt-flow/how-to-monitor-generative-ai-applications.md
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- name: Transparency note

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