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if weamp;#39;re moving from cat to dog which is similar things so we go away from cat and towards dog and then we go can i go beyond in that direction yes so the first result is dogs which is kind of a nonsense result the second is pit bull so thatamp;#39;s like the doggiest of dogs right the least cat-like dog that feels right yeah yeah actually well if you go the other way well the the most cat-like cat the most undog-like letamp;#39;s find out itamp;#39;s gonna be kitten right itamp;#39;s gotta be cats feline kitten itamp;#39;s not really giving us anything much to work with i thought i would talk a little bit about word embeddings word devec and just wording bettings in general the way i was introduced to word embeddings or the the sort of context that iamp;#39;m most familiar with them in is like how do you represent a word to a neural network well itamp;#39;s a set of characters isnamp;#39;t it i mean need it be more than the set of characters that make it up right so yo
