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English(EN) Dual-Slot: From Serial Loops to Parallel Slots in Language Models

Dual-Slot架构加速语言模型推理

研究人员推出了一种新颖的语言模型架构Dual-Slot,旨在增强计算深度并降低解码延迟。该架构将串行循环计算重新组织为并行潜在槽和预测槽,从而在不增加模型参数的情况下实现更快生成。使用Qwen风格模型的实验表明,在保持高解码吞吐量的同时,语言建模准确性和下游任务性能得到了提高。 AI

影响 这项架构创新可能带来更高效、更快速的语言模型推理,惠及需要实时响应的应用。

排序理由 这是一篇详细介绍语言模型新架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Dual-Slot架构加速语言模型推理

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这是一篇详细介绍语言模型新架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yiqin Hao, Zitong Wang, Boyi Zeng, He Li, Shixiang Song, Feichen Song, Yifan Liu, Ran Tao, Bryan Dai, Zhouhan Lin ·

    双槽:从串行循环到语言模型的并行槽

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