Verified90% confidenceFactTime unknown
Large language models are based on the Transformer architecture and are trained on massive amounts of text data.
89
Sources
90%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
软件暴政即将终结：AI让人人皆可造App
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VerifiedThe Transformer architecture underlying large language models does not directly process raw characters; instead, it first uses a tokenizer to split text into subword units, which are then mapped to high-dimensional vectors for computation.81% similarVerifiedThe large language model represented by ChatGPT is based on the Transformer architecture and acquires the statistical patterns of language by performing self-supervised learning on massive text data.79% similarUnverifiedLarge language models (LLMs) are based on deep learning underneath, specifically using the Transformer architecture, trained on massive amounts of text to acquire language patterns, contextual relationships and semantics.78% similar
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