Unverified50% confidenceOpinionExact time
Model editing shows that being frozen and being writable are not contradictory—weights can be modified offline while forward computation remains unchanged at inference time.
1
Sources
50%
Confidence
Long-term
Relevance
10/28/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe framework requires no labeled data or fine-tuning, because the model parameters are completely frozen, and only the prompt rules need to be adjusted to adapt to defect pattern drift caused by changes in production conditions.71% similarUnverifiedA frozen model refers to a model whose weight parameters all remain unchanged during the inference phase, with no fine-tuning, adapter training, or online learning performed.69% similarUnverifiedWhen wording is fixed, model outputs are fairly consistent; inconsistency is exposed only when wording changes while meaning stays the same.68% similarUnverified端侧小模型在指令遵循上往往不如云端大模型稳定，通过约束解码强制模型按预定义语法输出可在不牺牲推理速度的前提下保证工具调用的结构化可靠性67% similarUnverifiedThe judge's model version and temperature should be fixed, because a silently changing judge is a moving ruler; after each change to the judge prompt or judge model, the agreement rate should be re-checked.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1106160API
curl https://kongchang.com/api/v1/knowledge/claims/1106160MCP
get_claim(id=1106160)