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ah give it give it as a fun one um let me just quickly go to this one its easier for those who want to visit the uh at the package uh keyboard is is super simple really really really basic um as a default essentially what were doing is we want to extract keywords and why were doing that is we create a documented branding from a document and then from each word in that document we use the same language model and create embeddings from those we do cosine similarity and pick the ones that are most similar thats it thats all were doing um and the reason that that works so well is for two reasons uh language models tend to have um the same dimensional space with respect to both words and documents that work quite well especially when you then do cosine similarity or another distance measure the second thing is is the same with with your topic its so intuitive theres not much going on there and then on top of that we can do some fine tuning so theres an algorithm called maximum mar
