Tweeted By @chipro
Deploying ML systems isn't just about getting ML systems to the end-users.
— Chip Huyen (@chipro) September 29, 2020
It's about building an infrastructure so the team can be quickly alerted when something goes wrong, figure out what went wrong, test in production, roll-out/rollback updates.
It's fun!
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