Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
MicroVMs for hardware boundariesMicroVMs use hardware virtualization backed by the CPU’s extensions to run each workload in its own virtual machine with its own kernel.。关于这个话题，夫子提供了深入分析
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