Unverified50% confidenceFactExact time
The training objective of LLMs is to generate fluent, coherent, contextually appropriate text, not to guarantee factual accuracy
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified当前主流 LLM 采用指令遵循(Instruction Following)训练方式,会用概率最高的方式补全输出75% similarUnverifiedLLM training data covers a large amount of open-source code, but this represents statistical patterns rather than an understanding of specific projects.74% similarUnverifiedContent generated by LLMs is essentially a statistical recombination of training data, lacking real product usage experiences, industry case studies, or original data to support it.74% similarUnverified当前主流LLM普遍采用预训练加微调范式,先在互联网规模语料上无监督预训练,再通过RLHF等技术对齐人类偏好73% similarUnverifiedDuring training, LLMs learn grammatical rules and common patterns from large amounts of code and text data, but design judgment requires the combined capabilities of visual perception, user psychology, and brand consistency.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/916682API
curl https://kongchang.com/api/v1/knowledge/claims/916682MCP
get_claim(id=916682)