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Focus on low-cost AI models, says Nandan Nilekani

Developers and builders working on artificial intelligence (AI) and generative AI should focus on the low-cost and
efficient utilisation of specific case-drive data models instead of getting into the race to build bigger data models, Nandan Nilekani, the non-executive chairman of Infosys said.“We think that the AI study should be use-case-led. In other words, they should be ‘outside in and not inside out’. Most of the AI conversations happening today is ‘inside out’ which says that my (language) model is bigger than

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yours. But how do we make a difference to the lives of people? How can the common man improve his life with AI,” Nilekani said.

Speaking at the Carnegie Tech Summit 2023, Nilekani said that all AI should be use-case-led which can be amplified to make the lives of common people better.

Digital Public Infrastructure, which has taken India more than a decade to develop and bring to its current levels, has reduced friction, improved productivity, made the society more inclusive and enabled formalisation.

“With AI coming along, it is giving us new capabilities. One is demystifying complexity. In other words, how do you make sure that people have the right information and ideas at the right time at their fingertips,” Nilekani said.

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AI’s ability to reduce this complexity and therefore make knowledge more accessible for everyone will ultimately lead to a much smoother transition to digital public infrastructure, he said.

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