Parameters
Definition: Parameters are the internal values a model learns during training; their count (often in billions) hints at its size.
More parameters ≠ always better: architecture, data and training matter as much as raw size.
Definition: Parameters are the internal values a model learns during training; their count (often in billions) hints at its size.
More parameters ≠ always better: architecture, data and training matter as much as raw size.