Engineers at the University of California San Diego have created a new method to make large language models (LLMs)—such as the ones that power chatbots and protein sequencing tools—learn new tasks using significantly less data and computing power.
AI models can now be customized with far less data and computing power
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
