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      <title>大模型的Padding陷阱：为什么Decoder推理必须左填充，而BERT却用右填充？</title>
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      <description>深入解析大模型中padding、truncation与attention mask的协同工作原理。从Decoder-only模型的生成机制出发，揭示为什么GPT推理必须使用左填充，而BERT使用右填充。涵盖位置编码交互、序列打包优化、Flash Attention处理、训练推理差异等核心技术细节。</description>
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      <description>深入解析Encoder-only、Decoder-only和Encoder-Decoder三种Transformer架构的本质差异，从注意力矩阵的秩问题到训练推理效率，揭示Decoder-only在大模型时代占据主导地位的原因。</description>
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