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Top ex-Google Brain researchers begin AI analysis firm in Tokyo

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Top ex-Google Brain researchers begin AI analysis firm in Tokyo

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Sakana AI, based by David Ha and Llion Jones, declined to reveal funding particulars.

Google Brain researchers establish new AI companySakana AI will give attention to creating new architectures for basis fashions. (Image: Freepik)

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Two outstanding former Google researchers, one among whom was a co-inventor of the “transformer” synthetic intelligence structure that paved the way in which for the generative AI increase, introduced on Thursday they’d began a brand new AI firm primarily based in Tokyo.

Sakana AI, based by David Ha and Llion Jones, declined to reveal funding particulars.

Jones is the fifth creator on Google’s 2017 analysis paper “Attention Is All You Need”, which launched the “transformer” deep studying structure that went on to turn out to be the idea for viral chatbot ChatGPT and the present race to develop merchandise powered by generative AI. Ha was beforehand the top of analysis at Stability AI and a Google Brain researcher.

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After the well-known paper got here out, advances in generative AI basis fashions have centered round making the “transformer”-based fashions bigger and bigger. Instead of doing that, Sakana AI will give attention to creating new architectures for basis fashions, Jones instructed Reuters.

“Rather than building one huge model that sucks all this data, our approach could be using a large number of smaller models, each with their own unique advantage and smaller data set, and having these models communicate and work with each other to solve a problem,” stated Ha, although he clarified this was simply an concept.

All the authors on the “Attention Is All You Need” paper have now left Google. The authors’ new ventures have attracted thousands and thousands in funding from enterprise buyers, together with Noam Shazeer, who’s working AI chatbot startup Character.AI, and Aidan Gomez, who based giant language mannequin startup Cohere.

First printed on: 18-08-2023 at 10:59 IST



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