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Despite being one of the earliest llms, bert has remained relevant even today, and continues to find applications in both research and industry BERT应不应该叫「大模型」？ 这个问题其实还挺经典的，跟CLIP、DINO、Stable Diffusion等一系列模型是不是应该叫「大模型」属于一个范畴。 最早听说「大模型」这个词应该是在2022年左右，当时听到不少老师都表达出「大模型要来了」的观点。 Bert is the most famous encoder only model and excels at tasks which require some level of language comprehension
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BERT与以往的模型不同，它是深度双向的，无监督的语言表示，完全依靠纯文本语料库进行预训练。 自那时起，我们开始见证了一系列大型语言模型的诞生：GPT-2，RoBERT，ESIM+GloVe，以及现在的GPT-3、4，这个模型一出，最终引发了一大波AI的热潮。 As an input, it takes a [cls] token and two sentences separated by a special [sep] token Bert is a transformer successor which inherits its stacked bidirectional encoders
Most of the architectural principles in bert are the same as in the original transformer.
Introduction to bert bert, introduced by researchers at google in 2018, is a powerful language model that uses transformer architecture. BERT 模型通过对 MLM 和 NSP 进行联合训练，使模型能 准确抽取输入文本（单句或语句对）的整体信息，从而输出尽可能准确、全面地 字/词 向量表示。 4.3 Pre-training data 为了提取长的连续序列， 使用文档级语料库 而不是打乱的句子级语料库至关重要。 五、 Fine. BERT模型有什么调参技巧? 感觉很多nlp比赛都是bert调参比赛，那么有什么调参技巧可以脱颖而出呢？ 或者不用bert从哪些方面考虑能达到比bert更好的效果？ 显示全部 关注者 262 被浏览 Bert bert first of all, let us remind how bert processes information
