LARGE LANGUAGE MODELS FUNDAMENTALS EXPLAINED

This is because the amount of feasible phrase sequences will increase, plus the designs that notify results turn out to be weaker. By weighting phrases within a nonlinear, distributed way, this model can "understand" to approximate words and phrases rather than be misled by any unknown values. Its "comprehension" of a provided word is not as tightl