Unverified50% confidenceFactExact time
Top-p采样（核采样）由Holtzman等人2020年提出，按概率从高到低累加至阈值p后从最小词集中采样
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
Unverified温度值越高，模型输出概率分布越平滑，随机性越强；Top-p采样只从累积概率达到阈值的最小token集合中采样66% similarUnverified2022年Hoffman等人的Chinchilla论文重新校准了算力最优的参数-数据比例，指出此前许多大模型训练不充分64% similarUnverifiedPrompt优先方案（用一条超长指令串起数据分析流程）实测成功率不到40%64% similarUnverified早期Flux模型的默认采样步数通常在20-50步之间63% similarVerified核采样（nucleus sampling/top-p）动态截取累积概率达到p的最小token集合进行采样62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/510732API
curl https://kongchang.com/api/v1/knowledge/claims/510732MCP
get_claim(id=510732)