At present, the focal point of debate in the AI sector has shifted from determining which large-scale model reigns supreme to the formidable cost challenges confronting a multitude of companies following widespread implementation. Even industry behemoths such as Uber and Microsoft are actively exploring avenues to curtail expenses. Individual users, too, find themselves ensnared in this quandary, with high-intensity AI utilization devouring hundreds of millions, or even billions, of Tokens on a daily basis, resulting in substantial financial outlays. During an internal NVIDIA gathering, employees voiced apprehensions that the prodigious consumption of Tokens was merely superficial, failing to yield a significant boost in productivity.
