From the course: GenAIOps Foundations
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Model lifecycle management
From the course: GenAIOps Foundations
Model lifecycle management
- [Instructor] Let's discuss managing the lifecycle of a GenAI model in this video. GenAI models go through a lifecycle of creation, fine-tuning, use, and retirement. Implementing a managed lifecycle for GenAI models helps to methodically create, test, and promote models. This ensures traceability, avoids mistakes, and provides safety for the application. What are the stages in a model lifecycle? It begins with creating a new version of the GenAI model. This model can be created from scratch or fine-tuned from an existing version of the model. The model is then evaluated and tested. Its performance is measured and compared with benchmarks and thresholds. It is also tested for safety and compliance. Once a model successfully passes evaluation, it's ready for use. The model is then promoted to production. This may go through multiple stages, like staging and canneries before wide deployment. During deployment, the model is again monitored for performance and safety. When a newer version…
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