Attention deficit reorder: how China’s AI start-ups are rewiring the way models remember
As access to advanced chips narrows, Chinese AI developers are focusing on fixing an algorithmic bottleneck at the heart of large language models (LLMs) – hoping that smarter code, not more powerful hardware, will help them steal a march on their Western rivals. By experimenting with hybrid forms of “attention” – the mechanism that allows…