ABOUT LARGE LANGUAGE MODELS

It's because the quantity of feasible word sequences increases, and the styles that advise benefits turn into weaker. By weighting words in a very nonlinear, distributed way, this model can "master" to approximate words instead of be misled by any unfamiliar values. Its "comprehension" of a specified term just isn't as tightly tethered on the quick