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This demonstrates how to manage LLMs using Microsoft Azure GenAIOps. For official guidance, support, or more detailed information, please refer to Microsoft's official documentation or contact Microsoft directly.

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Overview of Microsoft Azure GenAIOps Maturity Levels

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GitHub brown9804

Last updated: 2025-03-10


Generative Artificial Intelligence Operations (GenAIOps), also known as LLMOps, describes the operational practices and strategies for managing large language models (LLMs) in production. The maturity levels help organizations understand and improve their capabilities in managing these models.

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Please take this GenAIOps Maturity Model Assessment to determine your current level of maturity.

Microsoft.-.GenAIOps.Maturity.Model.Assessment.mp4
graph LR
    A[GenAIOps Maturity Levels]
    A --> B1[Level 1 - Initial]
    A --> B2[Level 2 - Defined]
    A --> B3[Level 3 - Managed]
    A --> B4[Level 4 - Optimized]

    B1 -->|Explore LLM APIs<br>Basic Metrics| B2
    B2 -->|Complex Prompts<br>Systematic Deployment| B3
    B3 -->|Monitoring + Logging<br>Performance Optimization| B4
    B4 -->|Advanced Automation<br>Continuous Improvement| B4
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Maturity Level Description Focus
Level 1 - Initial Organizations are exploring LLM capabilities without structured practices. - Familiarize with different LLM APIs
- Experiment with structured prompt design
- Introduce basic metrics for LLM application performance evaluation
Level 2 - Defined Organizations have started to systematize LLM operations with structured development and experimentation. - Develop more complex prompts
- Integrate prompts into applications
- Implement systematic approaches for LLM application deployment
Level 3 - Managed Organizations have established processes for managing LLMs, including monitoring, logging, and performance optimization. - Enhance monitoring and logging capabilities
- Optimize performance
- Ensure compliance with best practices
Level 4 - Optimized Organizations have fully optimized their LLM operations, with continuous improvement and advanced automation. - Implement advanced automation
- Continuous improvement practices
- Leverage cutting-edge tools and techniques for LLM management

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This demonstrates how to manage LLMs using Microsoft Azure GenAIOps. For official guidance, support, or more detailed information, please refer to Microsoft's official documentation or contact Microsoft directly.

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