Practitioners guide to MLOps: A framework for continuous ...
The difference is that when you deploy a web service, you care about resil-ience, queries per second, load balancing, and so on. When you deploy an ML model, you also need to worry about changes in the data, changes in the model, users trying to game the system, and so on. This is what MLOps is about.
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