Paper Review, Deep Learning, Computer Vision, Autoregressive Model, Image Generation.
model parameters increase. The power-law scaling laws suggest that increasing the size of autoregressive models leads to a predictable decrease in test loss, correlating with the model’s parameter counts, training tokens, and optimal training compute, all following a power-law relationship. This