 of individual weights, partial gradient. So you take the derivative, a partial derivative of every weight of neural network. There are just so many of the weights, by the way, hundreds of billions of parameters that you take partial derivative of. And then you move that weight so that it's going to increase the probability score assigned to the particular sequence of words that were in the training data.