Unverified50% confidenceFactExact time
The core architecture of large language models (LLMs) is the Transformer.
1
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50%
Confidence
Long-term
Relevance
11/2/2026
First Seen
Sources
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Related Claims
UnverifiedMainstream LLMs are based on the Transformer architecture and acquire capabilities through self-supervised learning of next-token prediction on massive text data.77% similarVerifiedA large language model (LLM) is a deep neural network model based on the Transformer architecture and pre-trained on massive amounts of data.76% similarVerifiedThe autoregressive generation characteristic of LLMs determines that their output is streamed token by token, stemming from the decoding strategy of the Transformer architecture.75% similarUnverifiedThe degree of alignment between Transformer and traditional models depends on three dimensions: model architecture, target language, and network layer.75% similar
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