Focus on low-cost AI models, says Nandan Nilekani

Designers and manufacturers chipping away at computerized reasoning (artificial intelligence) and generative artificial intelligence ought to zero in on the minimal expense and
effective use of explicit case-drive information models as opposed to getting into the competition to construct greater information models, Nandan Nilekani, the non-chief director of Infosys said.

“We feel that the simulated intelligence study ought to be use-case-drove. They ought to be “outside in and not inside out,” in other words. Today, the majority of AI conversations are “inside out,” implying that my language model is larger than yours. Yet, how would we have an effect on the existences of individuals? How can AI help the average person live better?” Nilekani asked.

Nilekani stated at the Carnegie Tech Summit 2023 that all AI should be based on use cases that can be expanded to improve everyday life.