The best Side of language model applications
It is because the amount of probable word sequences raises, and also the designs that tell effects become weaker. By weighting words in a nonlinear, distributed way, this model can "learn" to approximate words and not be misled by any unfamiliar values. Its "comprehension" of the presented word just isn't as tightly tethered to your speedy borderin