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2 points

Nah, it’s pushing inference to prod. Any idiot can make an ipynb to train a model, but packaging everything into an app ecosystem is where you actually need a lot of non-ML software engineering know-how.

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3 points

So true. I’m on an AI product team. None of the engineers know that much about learning/ai — our expertise is in high availability/scalability/distributed systems.

The AI part it when a data scientist hands us a notebook and says: implement this algorithm.

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