LITTLE KNOWN FACTS ABOUT LARGE LANGUAGE MODELS.

Neural network centered language models relieve the sparsity difficulty by the way they encode inputs. Word embedding levels develop an arbitrary sized vector of each and every phrase that incorporates semantic associations too. These steady vectors build the Considerably required granularity from the probability distribution of another word.AlphaC