Verified65% confidenceFactExact time
The Transformer architecture became the core foundation of modern large language models such as BERT (2018), the GPT series, and T5, with citation counts exceeding 100,000.
3
Sources
65%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
The Pain of AI Paper Peer Review: Why Should Models Released After the Deadline Count Against You?
redditr/LanguageTechnology7/9/2026
Related Claims
Verified当前所有主流大模型（GPT、BERT、LLaMA等）都基于Transformer架构79% similarVerifiedModern AI systems such as GPT, BERT, and ChatGPT all have the Transformer as their core architecture.78% similarVerifiedModern 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.76% 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76% similarUnverifiedCurrent mainstream AI large models such as GPT-4, DeepSeek, and Claude are essentially large-scale language models based on the Transformer architecture.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/484318API
curl https://kongchang.com/api/v1/knowledge/claims/484318MCP
get_claim(id=484318)