A traditional machine-learning operations mindset favors the smallest model that meets acceptance criteria when the model must be served at very large scale.

“should also the ML mindset may not adapt well to like if you if you came from that world you're very much about like let's do the smallest model that that hits our acceptance criteria because we want to serve it at very large scale”