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Why India risks falling behind in the AI race

Indian software services firms must build language models from scratch for themselves and their customers. Yes, it takes computational power and engineering talent to train neural network-based programmes on vast amounts of natural-language inputs. But to not go down that route is unnecessarily timid, given how businesses fear data integrity and privacy issues with publicly available models

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​ Indian software services firms must build language models from scratch for themselves and their customers. Yes, it takes computational power and engineering talent to train neural network-based programmes on vast amounts of natural-language inputs. But to not go down that route is unnecessarily timid, given how businesses fear data integrity and privacy issues with publicly available models Indian software services firms must build language models from scratch for themselves and their customers. Yes, it takes computational power and engineering talent to train neural network-based programmes on vast amounts of natural-language inputs. But to not go down that route is unnecessarily timid, given how businesses fear data integrity and privacy issues with publicly available models  Moneycontrol Latest News Read More  

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