LAMB optimizer does: layer-wise adaptive learning rates for large batch training

gradient accumulation simulates larger batch sizes without more memory

Can you train a machine like you do with a computer?

batch size affects generalization: larger batches find sharper minima

Larger batch sizes lead to sharper minima, enhancing generalization by providing more accurate gradient estimates

Neural network (machine learning)

Ever tried adjusting the learning rate like tuning a musical instrument?

AdaGrad does: divides learning rate by sqrt of sum of squared gradients

How do we avoid overshooting in learning?

the compute-optimal training ratio is: roughly 20 tokens per parameter

How can we train AI efficiently without wasting resources?

Proximal gradient methods for learning

Why can't we always find the best path in a maze?