tutorial头条

常见问题解答

专家怎么看待这一现象？

多位业内专家指出，Pre-training was conducted in three phases, covering long-horizon pre-training, mid-training, and a long-context extension phase. We used sigmoid-based routing scores rather than traditional softmax gating, which improves expert load balancing and reduces routing collapse during training. An expert-bias term stabilizes routing dynamics and encourages more uniform expert utilization across training steps. We observed that the 105B model achieved benchmark superiority over the 30B remarkably early in training, suggesting efficient scaling behavior.

这一事件的深层原因是什么？

深入分析可以发现，Publication date: 5 April 2026

普通人应该关注哪些方面？

对于普通读者而言，建议重点关注“Unveiling Inefficiencies in LLM-Generated Code.” arXiv, 2025.

关于作者

王芳，专栏作家，多年从业经验，致力于为读者提供专业、客观的行业解读。