Does anyone actually use the 'normal gradient descent' with the whole training set? I only ever see it as a sort of straw man to make explanation easier.
Generally yes, vanilla gradient descent gets plenty of use. But for LLMs: no, it’s not really used, and stochastic gradient descent provides a form of regularization, so it probably works better in addition to being more practical.
