Large language models’ ability to generate text also lets them plan and reason

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Large language models’ ability to generate text also lets them plan and reason
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Even a few years ago, programs like ChatGPT would have been science fiction. But churning out writing on demand may not prove to be the large language models’ most significant ability. What will come next?

, trained using sensor data as well as text, to control a robot. It can understand and carry out tasks such as “bring me the rice chips from the drawer” or “push the red blocks to the coffee cup.” Auto--4 to generate and develop business ideas by knitting together a range of online resources. And so on.s to real-world contraptions has “the safety people freaking out”, Mr Benaich says. But making such systems safer is the focus of much research.

s, which are based on the so-called “transformer” architecture developed by Google, have a limited “context window”—akin to short-term memory. Doubling the length of the window increases the computational load fourfold. That limits how fast they can improve. Many researchers are working on post-transformer architectures that can support far bigger context windows—an approach that has been dubbed “long learning” .

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