Partially Verified65% confidenceFactTime unknown
Transformer架构于2017年提出，是自然语言编程真正落地的转折点之一
3
Sources
65%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
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Related Claims
UnverifiedTransformer于2017年提出后被快速引入时序预测领域73% similarUnverifiedAfter the Transformer architecture emerged in 2017, Google, OpenAI, Meta, and other organizations each completed their own preliminary research on large language models based on this architecture within roughly the same year.71% similarVerifiedThe Transformer architecture was proposed in 2017 and has largely supplanted RNNs in the NLP domain.71% similarUnverifiedTransformers has become the standard channel for releasing open-source models, forming an industry consensus.71% similarUnverifiedThe Universal Transformer was proposed in 2018 and repeatedly applies the same Transformer block to the input sequence.68% similar
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