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BERT (language model) - Wikipedia Next sentence prediction (NSP): In this task, BERT is trained to predict whether one sentence logically follows another For example, given two sentences, "The cat sat on the mat" and "It was a sunny day", BERT has to decide if the second sentence is a valid continuation of the first one
BERT 系列模型 | 菜鸟教程 BERT (Bidirectional Encoder Representations from Transformers)是2018年由Google提出的革命性自然语言处理模型，它彻底改变了NLP领域的研究和应用范式。
【BERT】详解BERT - 彼得虫 - 博客园 BERT，全称Bidirectional Encoder Representation of Transformer，首次提出于《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》一文中。
What Is the BERT Model and How Does It Work? - Coursera BERT is a deep learning language model designed to improve the efficiency of natural language processing (NLP) tasks It is famous for its ability to consider context by analyzing the relationships between words in a sentence bidirectionally
BERT Model - NLP - GeeksforGeeks BERT (Bidirectional Encoder Representations from Transformers) stands as an open-source machine learning framework designed for the natural language processing (NLP)