Verified80% confidenceFactTime unknown
The essence of large language models is learning the conditional probability distribution of what the next word is given the preceding text
31
Sources
80%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
Unverified大语言模型是概率性、随机性的,它根据之前出现的词元来预测下一个词元85% similarVerifiedWhen generating each token, large language models perform probabilistic sampling over all possible next words in the vocabulary, rather than deterministically selecting a unique answer.85% similarUnverified语言建模将一段文本的联合概率分解为每个词在其前文条件下的条件概率之积83% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/14994API
curl https://kongchang.com/api/v1/knowledge/claims/14994MCP
get_claim(id=14994)