Expired65% confidenceFactExact time
The GPT series adopts a Decoder-only architecture.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Complete AI Large Language Model Learning Roadmap: From Beginner to Production-Ready
bilibili全栈AI开发6/12/2026
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83% similarUnverifiedThe success of GPT-3 validated the scalability and flexibility of the decoder-only architecture at ultra-large scale, after which mainstream research converged toward decoder-only.79% 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.79% similarUnverifiedMainstream generative large models such as GPT-4, LLaMA, and Qwen adopt a Decoder-only architecture; BERT and RoBERTa adopt an Encoder-only architecture; T5 and BART adopt an Encoder-Decoder architecture.79% similarUnverifiedGPT系列、LLaMA、Gemini等主流模型均基于Transformer的解码器（Decoder-only）变体75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/48113API
curl https://kongchang.com/api/v1/knowledge/claims/48113MCP
get_claim(id=48113)