Unverified50% confidenceFactExact time
Current mainstream generative AI models (such as the GPT series, Claude, etc.) are essentially probabilistic prediction systems trained on massive amounts of text, and their output is a sampling of the most likely language sequences in the training distribution
1
Sources
50%
Confidence
Long-term
Relevance
9/28/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOpenAI的GPT系列基于自回归语言模型架构,核心训练范式是下一个Token的概率预测80% similarVerifiedThe GPT series of models are trained on trillion-scale text data through a self-supervised task of predicting the next token.78% similarUnverified生成式AI是基于大规模预训练语言模型(LLM)的技术范式,代表产品包括GPT-4、Claude、Gemini76% similarUnverifiedMainstream large language models (including GPT-4, DeepSeek, Claude, etc.) are all trained on static corpora and have a definitive knowledge cutoff date.75% similarUnverifiedGPT-4、Claude等通用大模型在预训练阶段学习的是互联网上的海量公开文本,倾向于给出通用的回答74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/957149API
curl https://kongchang.com/api/v1/knowledge/claims/957149MCP
get_claim(id=957149)