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Medium
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Breaking Down the MLOps Lifecycle: From Development to Deployment and Beyond
- The goal is to build a reproducible and modular codebase that forms the foundation for production pipelines.
- This step ensures that training can be repeated reliably, at scale, and on demand.
- CT is crucial for addressing model decay and maintaining relevance over time.
- This meta layer allows teams across an organization to collaborate, scale, and comply effectively.
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