Unverified50% confidenceTradeoffExact time
对于隐藏状态和观测信号都少的小型项目,精心设计的启发式规则或阈值策略可能覆盖90%以上的实际需求,且具备可解释性强、易于调试调参、无需数据训练的优势
1
Sources
50%
Confidence
Long-term
Relevance
8/19/2026
First Seen
Sources
Related Claims
UnverifiedWhen facing new domain tasks, one should first try running baselines with off-the-shelf open-source models, as usable results can often be obtained at very low cost and it is quite likely that training one's own model will not be necessary.67% similarUnverifiedThe safety alignment in the original training of open-source models can be removed through a small amount of fine-tuning.66% similarUnverifiedAlignment training optimizes the model's statistical behavior in known scenarios rather than establishing formally verifiable security boundaries, and may fail when faced with rare instruction combinations or role-playing frameworks outside the training distribution.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/774603API
curl https://kongchang.com/api/v1/knowledge/claims/774603MCP
get_claim(id=774603)