a RN and sequencing coder to provide context to in a language model and basically to learn how to use a sentence level feature extractor so what I mean by that is let's say we have a sentence I could see the cat on the steps what this model is trying to do is it first ingest this context sentence in the middle and they call it skip thought vectors because it's you can think of this is basically that skip grande model that was again you take a word in the center and then you predict the word before in the word after this is