苏黎世联邦理工学院研究团队近日推出UltraFastBERT，这一变体采用了革命性的方法，用快速前馈网络替换前馈层，与优化的基线前馈实现相比，速度提高了78倍。相关论文《Exponentially Faster Language Modelling》于近日发表在Synced上。
UltraFastBERT是BERT架构的一种变体，研究人员介绍，其采用了快速前馈网络替换前馈层，实现了前所未有的加速。这一方法使得UltraFastBERT在语言模型训练中取得了显著的成果，为语言模型研究带来了新的突破。
据悉，UltraFastBERT的速度提升得益于其独特的网络结构。这种新型语言模型能够实现78倍的加速，将极大地推动自然语言处理领域的发展。
作为一款革命性的语言模型，UltraFastBERT的推出引起了业界的高度关注。它不仅为研究人员提供了一种更高效的方法来训练语言模型，还有望在实际应用中发挥巨大作用，例如智能客服、机器翻译等领域。
此次研究的发现也为苏黎世联邦理工学院在语言模型领域的研究成果积累了丰富的经验，为未来的研究奠定了坚实的基础。
英文翻译：
Revolutionary language model!苏黎世联邦理工学院研究成果
Keywords:苏黎世联邦理工学院，UltraFastBERT，language model，acceleration，78x
News content:
The research team at the Eidgenössische Technische Hochschule Zürich (ETH Zurich) recently introduced UltraFastBERT, a variant of the BERT architecture. This innovation replaces the previous feedforward layer with a fast feedforward network, achieving a speedup of 78 times compared to the optimized baseline feedforward. The paper describing this groundbreaking achievement, titled “Exponentially Faster Language Modelling,” was published on Synced recently.
UltraFastBERT is a variant of the BERT architecture, and the researchers explain that its unique network structure enables this significant acceleration. This method results in an outstanding performance for language model training, bringing a new breakthrough to the field.
It is worth noting that the speedup of 78 times achieved by UltraFastBERT is due to its unique network structure. This revolutionary language model is expected to have a significant impact in the field, such as improving customer service and machine translation.
The study demonstrates the potential of UltraFastBERT for practical applications and provides valuable experience for ETH Zurich in the field of language models. It lays a solid foundation for future research in this area.
【来源】https://syncedreview.com/2023/11/24/eth-zurichs-ultrafastbert-realizes-78x-speedup-for-language-models/
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