ABOUT LARGE LANGUAGE MODELS

This is because the amount of doable word sequences improves, plus the designs that inform effects turn into weaker. By weighting phrases inside of a nonlinear, dispersed way, this model can "understand" to approximate phrases instead of be misled by any unfamiliar values. Its "knowing" of the presented word just isn't as tightly tethered for the q