Unverified50% confidenceFactExact time
The performance degradation on real weather is not visible on the synthetic held-out test set, because there is a systematic gap between the distribution of synthetic corruptions and that of real degradations.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
Unverified不建议在生产环境中使用本地小模型,因为量化的精度损失会导致推理能力明显下降66% similarUnverifiedBenchmark saturation refers to the point at which, after model performance improves to a certain level, benchmark tests can no longer effectively differentiate capability differences between models.63% similarUnverifiedTemperature=0(贪心采样)也不能保证模型输出的确定性,至少有三个原因:浮点运算非结合性、MoE路由不确定性、服务端配置漂移62% similarUnverified温度超参数τ越小分布越集中,模型对难负样本越敏感,但τ过小会导致梯度对异常值敏感、训练不稳定62% similarUnverifiedExisting convergence rate analyses typically depend on the ambient dimension, causing theoretically predicted convergence speeds to nearly break down in high dimensions, i.e., the curse of dimensionality.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/977619API
curl https://kongchang.com/api/v1/knowledge/claims/977619MCP
get_claim(id=977619)