Unverified50% confidenceFactExact time
In the early training stage, at the same training volume, the token model performed noticeably better than the byte model.
1
Sources
50%
Confidence
Long-term
Relevance
10/24/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSpecialized super-resolution models carefully trained for specific domains often outperform general-purpose models.79% similarUnverifiedAs training continued, the token model's performance began to plateau while the byte model kept improving.76% similarUnverified模型使用 bash 的成功率天然更高，因为它在预训练中见过大量真实命令行示例，而自定义工具 API 几乎不出现在预训练数据中76% similarUnverified不同模型在抗诱导能力上的差异很大程度上源于后训练阶段（post-training）的策略差异75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1093618API
curl https://kongchang.com/api/v1/knowledge/claims/1093618MCP
get_claim(id=1093618)