<ul><li>CI, CD, and CT are integral components of DevOps, which focus on automation, testing, and continuous delivery of software changes.</li><li>MLOps (Machine Learning Operations) is an extension of DevOps that specifically addresses the challenges of managing ML systems in production environments.</li><li>In MLOps, CI involves integrating both code and data pipelines, as ML systems are driven by data rather than just code.</li><li>CD in MLOps focuses on automating the deployment of dynamic and evolving ML systems, rather than shipping a single binary.</li></ul>

CI, CD, and CT in DevOps vs. MLOps: What’s the Difference?

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