LLM’s capability is expressed in terms of parameters since these relate to the model’s complexity and capacity to understand and generate language.

Parameters are essentially weights and biases learnt during training. These determine the model’s ability to process and generate text.

A large number of parameters generally enable a model to capture nuanced patterns in data. It leads to improved performance in NLP tasks. It is thus a practical measure of a model’s size and complexity, reflecting its potential.