The Greatest Guide To language model applications
It is because the amount of probable word sequences raises, and the designs that inform effects turn into weaker. By weighting words in a very nonlinear, distributed way, this model can "study" to approximate phrases instead of be misled by any unidentified values. Its "understanding" of the given phrase is just not as tightly tethered for the spee