Also, even with "Chinchilla laws", you still gain performance in a larger model, you just need a lot more data (if just as noisy) to reach the same level of convergence, but a larger model will have already partially converged to a superior model with the same amount data.
Also, even with "Chinchilla laws", you still gain performance in a larger model, you just need a lot more data (if just as noisy) to reach the same level of convergence, but a larger model will have already partially converged to a superior model with the same amount data.