Parameters are the internal variables (weights) learned by the model during training. The number of parameters (e.g., 7B, 175B) roughly correlates with the model's complexity and capacity to learn.
Standard terminology in statistics and machine learning.
Used as the primary metric to describe the 'size' of an AI model.