About large language models
It's because the quantity of probable phrase sequences improves, along with the designs that inform success turn into weaker. By weighting words and phrases in a very nonlinear, dispersed way, this model can "understand" to approximate terms rather than be misled by any unknown values. Its "being familiar with" of a supplied word is not as tightly