Verified75% confidenceFactExact time
Modern LLMs (such as the GPT series, Claude, and Llama) are all based on the Transformer architecture, and their decoding process is essentially a Markov chain.
3
Sources
75%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
Verified当前所有主流大模型（GPT、BERT、LLaMA等）都基于Transformer架构85% similarUnverifiedTransformer 取代了此前主流的 RNN/LSTM 序列模型，成为 GPT、LLaMA、Claude 等主流大模型的基础结构84% similarUnverified现代LLM普遍采用的GPT架构本质上是仅使用Transformer解码器（Decoder-only）部分的自回归语言模型83% similarUnverifiedGPT系列、LLaMA、Gemini等主流模型均基于Transformer的解码器（Decoder-only）变体82% similarUnverifiedThe current mainstream approach for training LLMs uses a decoder-only Transformer architecture, the same paradigm used by the GPT series82% similar
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