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English(EN) I merged attention and MLP processing into a single gated Transformer block. GAP [R]

实验性Transformer架构合并了注意力和MLP处理

作者 PulseAugur 编辑部 · [1 个来源] ·

一位研究人员开发了一种名为门控注意力投影（GAP）的实验性Transformer架构。这种新设计将注意力和MLP处理合并到一个门控块中，偏离了标准Transformer的独立子层。虽然GAP20比标准Transformer少用了19.91%的参数，并且在使用torch.compile时训练吞吐量提高了19.9%，但标准Transformer在最终语言模型准确性方面表现更好。 AI

影响 提出了一种替代Transformer的架构方法，可能带来更高效的模型。

排序理由 详细介绍实验性架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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实验性Transformer架构合并了注意力和MLP处理

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详细介绍实验性架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/WAMFT ·

    我将注意力与MLP处理合并到一个门控Transformer块中。GAP [R]

    <!-- SC_OFF --><div class="md"><p>Hi everyone!</p> <p>I've been experimenting with an alternative Transformer architecture called <strong>GAP (Gated Attention Projection)</strong>.</p> <p>The main idea is to combine attention and MLP-style processing into a single gated block, in…

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