Today in AI: AI systems need to be more efficient says Vishal Sikka, Indic LLMs need bigger datasets to train & OpenAI developer gathering in Bengaluru

(Image: Moneycontrol)

Sikka said that improving cost and energy efficiency, decreasing hallucination and training more people in the technology were the three most important challenges in AI

"If you look at us as information processing machines, we do our intelligence in about 2,000 calories in a day which is like a 100-watt light bulb. From a power consumption point of view, we are vastly more efficient than today's systems by at least 10 orders of magnitude," said Sikka.

The need for speech-based language is also because, in the country, typed input is error-prone and very English-intensive, said Mitesh Khapra, Associate Professor of Computer Science at IIT-Madras.

While the country needs India-specific large language models (LLMs), these "Indic LLMs" termed by experts need large datasets to train, Mitesh Khapra, Associate Professor of Computer Science at IIT-Madras and a key player in the government's Bhashini initiative said on December 12.

OpenAI vice president of engineering Srinivas Narayanan and other product leaders to interact with Indian techies on safety issues in artificial intelligence.

"I am delighted to announce we will hold a developer gathering with our VP of engineering Srinivas Narayanan in Bengaluru in January with more to follow. We plan to convene developers here in India alongside OpenAI product leaders to address some of the most difficult safety challenges," said Anna Makanju, Open AI's vice-president of Global Affairs.

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