Parameters are the 'settings' which define the modern-day AI model. In their raw form they are just numbers, because AI at its heart is just math. The math is layered on top of more math, which is ...

Surface roughness is referred to as a series of microscopic geometric features of tiny valleys and peaks of different spacings and heights that are typically arranged in a non-deterministic way on a ...

Brien Posey explains that a large language model’s performance depends more on architecture, training, and data quality than on its parameter count alone.