Unverified50% confidenceFactExact time
大模型本质上是token生成器,训练目标是生成看起来自然的文本,而非精确的数据结构
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedThe root cause of hallucination lies in the fact that the model's training objective optimizes for generating fluent and coherent text rather than generating truthful text.80% similarUnverified模型的工具调用能力来自专门的微调训练,而非通用语言模型的自然涌现77% similarVerifiedLarge language models do not store raw text in the traditional sense during training; instead, they encode statistical patterns into billions of parameters through the backpropagation algorithm.77% similarUnverified大模型能在逆向环节表现出色,根本原因在于预训练对海量人类编写代码进行统计建模,具备识别代码模式而非仅字面的能力77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/520742API
curl https://kongchang.com/api/v1/knowledge/claims/520742MCP
get_claim(id=520742)