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if were 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 thats 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 lets find out its gonna be kitten right its gotta be cats feline kitten its 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 im most familiar with them in is like how do you represent a word to a neural network well its a set of characters isnt it i mean need it be more than the set of characters that make it up right so you can do that but you remember the thing we were talking about before in
