近日，苏黎世联邦理工学院的研究团队发表了一篇题为《Exponentially Faster Language Modelling》的论文，介绍了他们研发的一种名为UltraFastBERT的语言模型。这是一种对BERT架构进行改进的变体，其采用了革命性的方法，用快速前馈网络替换前馈层，使得与优化的基线前馈实现相比，速度提高了惊人的78倍。
UltraFastBERT的诞生意味着在语言模型领域取得了重大突破。这一成果对于自然语言处理、机器翻译、文本生成等应用场景具有重要意义。研究团队的这一创新举措，不仅提高了语言模型的运算速度，还可能为相关领域带来更多高效便捷的应用。
英文翻译：
News Title: Zurich ETH research team releases UltraFastBERT, accelerating language models by 78x
Keywords: UltraFastBERT, language models, ETH Zurich
News Content:
Recently, a research team from ETH Zurich published a paper titled “Exponentially Faster Language Modelling”, introducing their newly developed language model called UltraFastBERT. This is a variant of the BERT architecture, which adopts a revolutionary method to replace the feedforward layer with a fast feedforward network. Compared to the optimized baseline feedforward implementation, the speed of UltraFastBERT is increased by an astonishing 78x.
The advent of UltraFastBERT represents a significant breakthrough in the field of language models. This achievement is of great importance to natural language processing, machine translation, text generation, and other application scenarios. The innovative approach of the research team not only improves the operation speed of language models but also opens the door for more efficient and convenient applications in related fields.
【来源】https://syncedreview.com/2023/11/24/eth-zurichs-ultrafastbert-realizes-78x-speedup-for-language-models/
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