On the other hand, if I see a healthy app/services or a lot of plain Ruby objects scattered around, that’s a good sign. It means someone at some point made a deliberate choice to pull logic out of the models. The code isn’t necessarily cleaner, but the instinct was right.
The model does the work, not the code. The inference code should be generic autoregressive decoding that would work with any transformer checkpoint. If your generation loop contains addition-specific logic — manually pairing digits, threading carry state, indexing into specific positions — then the Python code is solving the problem, not the model.
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You focus on what you want. The system handles how.
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