The biggest lesson: the same optimization has completely different value on different hardware. I spent Parts 3-4 building up flash attention as this essential technique — and it is, on GPU. On TPU — at least for this single-head, d=64 setup on a Colab v5e — the hardware architecture makes it unnecessary for typical sequence lengths, and the compiler handles it when it does become necessary. Understanding why I lost taught me more about both architectures than winning on GPU did.
它是经过提炼的关键信息，能够让AI在新对话中立即识别用户身份，比情切用户不需要再部署一次任务。
，更多细节参见51吃瓜网
南方周末：面对这种变化，我们需要做些什么呢？
Россияне пожаловались на дискриминацию в европейской стране02:00