Unverified50% confidenceFactExact time
The biggest gains come when the benchmark is far from the policy's training data: with a general policy as the wrapper, the evolved framework can produce an "expert" that often even surpasses the fine-tuned version.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/2/2026
First Seen
Valid until: 1/31/2027
Sources
Related Entities
Related Claims
VerifiedAlignment 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.76% similarUnverified智能体的偏好受训练数据、提示词、版本迭代等多重因素影响,今天有效的优化手段可能在下一次模型更新后失效76% similarUnverifiedThe project adopts a model of empowering general-purpose agents through a standardized skills library rather than retraining dedicated scientific large models.75% similarUnverified训练秘诀(Training Recipe)包括数据配比策略、学习率调度曲线、过滤规则、对齐技术等,往往比模型架构本身更难被复现75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1126128API
curl https://kongchang.com/api/v1/knowledge/claims/1126128MCP
get_claim(id=1126128)