Longer essays and technical guides on MLOps, data engineering, AI architecture, Azure and the platform concerns that tend to show up after the model finally works.
A practical definition of MLOps and a clearer view of where it starts, what it covers and why teams keep reducing it to tooling or deployment.
mlopsproduction-mlsoftware-engineeringarchitecture
A practical guide to the systems, delivery and MLOps concerns that start after a model works in a notebook.
mlopsproduction-mlarchitecture
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