Unverified50% confidenceFactExact time
Transformer在此之前，序列建模领域由LSTM和GRU主导，这些架构受制于顺序计算无法并行化
1
Sources
50%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
UnverifiedTransformer的多头自注意力机制取代了此前主流的LSTM/GRU等循环神经网络架构，Transformer架构从未申请专利保护78% similarUnverified相比RNN/LSTM架构，Transformer支持大规模并行计算67% similarUnverified主流Transformer架构通过KV Cache机制避免重复计算已处理的Token67% similarUnverifiedGroq LPU、英伟达H100的Transformer Engine代表了推理专用硬件层面的专业化分工趋势66% similarUnverifiedGrok背后的Aurora模型采用了扩散变换器（Diffusion Transformer）架构65% similar
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