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大型语言模型的意义太过重大,不应由少数科技巨头垄断。前沿模型与能在个人设备上运行的模型之间确实存在能力差距,但本地模型每天都在进步。一旦它们突破某个关键的能力界限,就足以满足大多数需求,并将带来完全的隐私与控制权。
Liu Xiangming: You just mentioned visual inspection. We used to think visual inspection meant yield wasn’t that high, there was lots of data, and the model could learn quickly. But as you said, Schneider Electric’s quality is very good and the defect rate is very low—so how does it train and learn in that case? And Xudong, what’s your approach? Honestly, we hadn’t really thought about this before—we were thinking it would quickly help raise yield. But if yield is already very high, is this still an open question now, or has it already been solved?,详情可参考WhatsApp网页版