Unverified50% confidenceFactExact time
BERT 在英文维基百科和 BookCorpus(共约 33 亿词)上进行了掩码语言模型(MLM)预训练
1
Sources
50%
Confidence
Long-term
Relevance
8/24/2026
First Seen
Sources
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Related Claims
UnverifiedLLMs acquire language capabilities by performing unsupervised pre-training on massive text corpora (predicting the next token).75% similarUnverified2006年Google翻译初始系统使用了一个在数万亿词文本上训练的5-gram语言模型,这很可能是世界上第一次万亿token规模的语言模型训练75% similarUnverifiedBERT(2018年,Google)采用掩码语言模型(MLM)实现双向上下文理解,但无法生成连贯文本75% similarVerified大语言模型通过在数千亿乃至数万亿个词元(Token)的文本数据上进行自监督预训练72% similarUnverifiedBERT 的掩码语言模型随机遮蔽输入文本中 15% 的词元并要求模型预测原词67% similar
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