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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 (language model) - Wikipedia Masked language modeling (MLM): In this task, BERT ingests a sequence of words, where one word may be randomly changed ("masked"), and BERT tries to predict the original words that had been changed
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 - 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
【万字详解】BERT模型总体架构与输入形式、预训练任务、应用方法 - 知乎 BERT（Bidirectional Encoder Representations from Transformers）是一种基于Transformer的深度学习模型，一经推出便横扫了多个NLP数据集的SOTA（最好结果）。
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)