Unverified50% confidenceFactExact time
大语言模型如GPT系列的核心机制是基于Transformer架构的下一个词预测，学习词汇间的统计共现关系
1
Sources
50%
Confidence
Long-term
Relevance
8/28/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedLarge language models (LLMs) such as GPT and Claude are essentially probabilistic prediction systems trained on massive amounts of text data.79% similarVerifiedLarge language models are essentially probability prediction systems based on the Transformer architecture, generating text by predicting the next most likely word.76% similarUnverifiedFoundation models learn by predicting the 'next word' on massive amounts of unlabeled text using a self-supervised learning paradigm, represented by models such as the GPT series and LLaMA74% similarUnverifiedMainstream LLMs are based on the Transformer architecture and acquire capabilities through self-supervised learning of next-token prediction on massive text data.74% similarVerified当前主流大语言模型本质上是基于Transformer架构的概率预测系统，通过预测下一个最可能的Token来生成内容73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/816084API
curl https://kongchang.com/api/v1/knowledge/claims/816084MCP
get_claim(id=816084)