Thinking models are going to cost a shit ton of money to train,” said Srinivas in his post. Highlighting India's forward stance in the space technology sector and the Indian Space Research ...

DeepSeek’s success has prompted discussions about whether training large language models truly requires billions of dollars ...

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Sam Altman said his comments on India being able to make or not being able to make LLMs were taken out of context. "We are ...

For Cramer, while the lower AI development costs were commendable, the use cases for the AI GPU firm’s products were beyond large language models: “Well, look, there’s no doubt about the ...

Leveraging emerging efficiencies and maximising Artificial Intelligence’s potential must remain central to India’s strategy ...

Aravind Srinivas, the Indian-origin CEO of Perplexity AI, publicly criticised Infosys co-founder Nandan Nilekani's stance on artificial ... training large language models (LLMs).

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However, he raised concerns over Nilekani's advice to Indian AI startups, urging them to focus exclusively on developing practical AI applications rather than training large language models (LLMs).