Practitioners guide to MLOps: A framework for continuous ...
MLOps supports ML development and deployment in the way that DevOps and DataOps support application engi-neering and data engineering (analytics). 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
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