新研究揭示了支撑DeepSeek模型的内存节省技术存在潜在缺陷，这对一种帮助中国人工智能实验室通过低成本方法缩小与OpenAI和Anthropic等美国竞争对手差距的突破性技术提出了罕见的挑战。
New research has exposed a potential flaw in the memory-saving technology underpinning DeepSeek’s models, marking a rare challenge to a breakthrough that has helped the Chinese artificial intelligence lab close the gap with US rivals OpenAI and Anthropic with its low-cost approach.
该研究论文由字节跳动的研究人员领衔，并有来自普林斯顿大学、斯坦福大学和加州大学伯克利分校的合著者参与，于上月下旬发表。该研究...
The findings were published late last month in a paper led by researchers from ByteDance and co-authors affiliated with Princeton University, Stanford University and the University of California, Berkeley. The study,...