Yes but we don't know the shape of the curve and where we are on it.
See chinchilla scaling laws, we have the functional form of the curve and know the constants (though they change and are domain and model specific):
L(N,D) ~= 1.69 + 406 / N^0.339 + 411 / D^0.285
L is loss (pre training test loss) D is the scale of the data N is the number of model parameters
alt Hacker News
See chinchilla scaling laws, we have the functional form of the curve and know the constants (though they change and are domain and model specific):
L(N,D) ~= 1.69 + 406 / N^0.339 + 411 / D^0.285
L is loss (pre training test loss) D is the scale of the data N is the number of model parameters