Nobody in business cares if you are doing proper AI or dumb curve fitting. What matters is the complexity (engineering debt) and performance (accuracy, robustness).
Online learning, sample -
and energy efficiency are unrelated to training times. Like said: nobody cares if you ran Vowpal Wabbit for 1 hour or 100 hours, as long as you are not constantly babysitting it and calling that paid work (or have the unusual requirement of daily retraining while using an online model).
> simple dot product is always going to be faster than many matrix multiplies
If you care about this (because it is profitable), you rewrite in lower-level language or predict with cloud GPU (which will be at least comparable to simple dot product, while adding performance)
Online learning, sample - and energy efficiency are unrelated to training times. Like said: nobody cares if you ran Vowpal Wabbit for 1 hour or 100 hours, as long as you are not constantly babysitting it and calling that paid work (or have the unusual requirement of daily retraining while using an online model).
> simple dot product is always going to be faster than many matrix multiplies
If you care about this (because it is profitable), you rewrite in lower-level language or predict with cloud GPU (which will be at least comparable to simple dot product, while adding performance)