2018 年 6 月，OpenAI 发表论文介绍了自己的语言模型 GPT，GPT 是“Generative Pre-Training”的简称，它基于 Transformer 架构，GPT模型先在大规模语料上进行无监督预训练、再在小得多的有监督数据集上为具体任务进行精细调节（fine-tune）的方式。先训练一个通用模型，然后再在各个任务上调节，这种不依赖针对单独任务的模型设计技巧能够一次性在多个任务中取得很好的表现。这种模式也是 2018 年中自然语言处理领域的研究趋势，就像计算机视觉领域流行 ImageNet 预训练模型一样。
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