Unverified50% confidenceFactExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
UnverifiedModern 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.83% similarPartially VerifiedThe GPT series adopts a Decoder-only architecture.83% similarUnverifiedThe current mainstream approach for training LLMs uses a decoder-only Transformer architecture, the same paradigm used by the GPT series82% similarUnverifiedModern large language models (such as the GPT series) almost universally adopt a decoder-only architecture, using masked self-attention to ensure that autoregressive generation does not leak future token information.82% similarVerifiedGPT is a series of large language models developed by OpenAI based on the Transformer architecture79% similar
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