Unverified70% confidenceFactExact time
Google launched the BERT pre-trained language model in 2018 and the PaLM model with 540 billion parameters in 2022.
2
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70%
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Long-term
Relevance
9/7/2026
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VerifiedBERT was proposed by Google in 2018 and is a pre-trained language model based on the Transformer architecture.78% similarUnverifiedSentencePiece由Google于2018年推出，支持无监督训练，无需预先进行空格分词，Google的T5、LLaMA等模型均采用其Unigram语言模型算法77% similarVerifiedBERT was introduced by Google in 2018, a pioneering work in pre-trained language models, and was the first to adopt a bidirectional encoder architecture, setting new records on 11 NLP benchmark tests.76% similarUnverifiedmBERT and PaLM 2 are Google's multilingual pre-trained models.76% similarUnverifiedBERT was released by Google in 2018, employing bidirectional pre-training that randomly masks 15% of words via a masked language model and requires their restoration.75% similar
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