representing a word by a vector with learned values for each location this is like the paper that kind of really introduced this in the neural setting and they were doing like large-scale distributed asynchronous SGD on a cluster even back then in 2003 they had to do it because single mushy peas were so slow so this is like I think it's 64 128 CPU cluster and it would take them I think a month to train a model with like three layers and you know sixty hidden units so this is a still a and grand model but we're using a multi-layer