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Exploring the gap between research and production teams, their different priorities, and what’s often missing between experimentation and real-world systems.
If you've ever handed off research code to an engineering team — or received it — you probably know this moment. The model works. The accuracy is great. The paper is published or the PoC is approved.
In my previous post, I wrote about bridging the gap between research code and production systems. This one is about something I did not pay enough attention to — until I had to. 😅 Library versions. Y
