Despite their huge success, the inner workings of large language models such as OpenAI’s GPT model family and Google Bard remain a mystery, even to their developers. Researchers at ETH and Google have uncovered a potential key mechanism behind their ability to learn on-the-fly and fine-tune their answers based on interactions with their users.Despite their huge success, the inner workings of large language models such as OpenAI’s GPT model family and Google Bard remain a mystery, even to their developers. Researchers at ETH and Google have uncovered a potential key mechanism behind their ability to learn on-the-fly and fine-tune their answers based on interactions with their users.[#item_full_content]

Despite their huge success, the inner workings of large language models such as OpenAI’s GPT model family and Google Bard remain a mystery, even to their developers. Researchers at ETH and Google have uncovered a potential key mechanism behind their ability to learn on-the-fly and fine-tune their answers based on interactions with their users.Despite their huge success, the inner workings of large language models such as OpenAI’s GPT model family and Google Bard remain a mystery, even to their developers. Researchers at ETH and Google have uncovered a potential key mechanism behind their ability to learn on-the-fly and fine-tune their answers based on interactions with their users.Computer Sciences[#item_full_content]

This robot can swim under the sand and dig itself out too, thanks to two front limbs that mimic the oversized flippers of turtle hatchlings.This robot can swim under the sand and dig itself out too, thanks to two front limbs that mimic the oversized flippers of turtle hatchlings.[#item_full_content]

With its head-spinning size and connections, the power system is so complex that even supercomputers struggle to efficiently solve certain optimization problems. But quantum computers might fare better, and now researchers can explore that prospect thanks to a software interface between quantum computers and grid equipment.With its head-spinning size and connections, the power system is so complex that even supercomputers struggle to efficiently solve certain optimization problems. But quantum computers might fare better, and now researchers can explore that prospect thanks to a software interface between quantum computers and grid equipment.[#item_full_content]

A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.[#item_full_content]

A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.Computer Sciences[#item_full_content]

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