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什么是BERT？一文读懂谷歌推出的预训练语言模型 | AI铺子 2018年，谷歌推出的BERT（Bidirectional Encoder Representations from Transformers）模型，以双向语境理解能力和大规模无监督预训练为核心，彻底改变了NLP的技术范式。本文AI铺子将从技术原理、架构设计、训练方法、应用场景及发展演进五个维度，系统解析BERT的核心价值与行业影响。
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 - Hugging Face Instantiating a configuration with the defaults will yield a similar configuration to that of the BERT google-bert bert-base-uncased architecture Configuration objects inherit from PretrainedConfig and can be used to control the model outputs
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)