semantically relevant in downstream tasks because they have performed very very well so how does the Skip Graham model work how does how does it assign vectors to each to each word so first of all it has a dictionary so there is a word an input word and for each word you have a big dictionary and the diction dictionary is basically says that you know - the word - is going to be mapped to this vector point one Dada Dada Dada and so on the word learn is going to be mapped to that vector and then you also have these output vectors right here and