Unverified90% confidenceFactExact time
The current mainstream approach for training LLMs uses a decoder-only Transformer architecture, the same paradigm used by the GPT series
1
Sources
90%
Confidence
Long-term
Relevance
8/2/2026
First Seen
Sources
Training a 1.3B Parameter LLM from Scratch: Complete Workflow and Core Challenges
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Related Claims
Unverified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82% similarUnverifiedModern 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.82% similarUnverifiedBERT、GPT系列、T5等预训练大模型均以Transformer为基础架构，形成了预训练+微调的主流范式75% similarVerifiedGPT stands for 'Generative Pre-trained Transformer'.75% similarUnverifiedGPT系列、LLaMA、Gemini等主流模型均基于Transformer的解码器（Decoder-only）变体74% similar
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