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How to Improve Machine Learning Models?
The way in which we have learned to improve our machine learning models is by improving the recipe by which theseMachine Learning models are trained. So you have like a bunch of dials on your model and one thing you do is just tweak the dials so you can get more, more in fact of it. I feel like I don't have a super good intuition on this. But when you look ahead to thinking about how performance and ML models might improve over the next decade or so, do you imagine most of that improvement coming from these kind of dial tweaking small innovation type improvements? Or do you imagine it coming from one or two big changes to the paradigm where you have a new thing like