Unverified50% confidenceSolutionExact time
The Nemotron team adopted on-policy distillation and trained multiple teacher models specializing in different capabilities (search, SWE, Agentic) for multi-teacher distillation to achieve better cross-domain generalization.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/17/2026
First Seen
Valid until: 12/16/2026
Sources
Related Entities
Related Claims
Unverified教师-学生蒸馏框架先训练可访问完整环境信息的教师策略,再蒸馏到仅依赖机载传感器的学生策略中以实现真实硬件部署63% similarUnverifiedDINOv2的核心训练策略基于自蒸馏,模型同时维护教师网络和学生网络,学生网络通过预测教师网络对同一图像不同裁剪视角的输出来学习特征表示61% similarUnverifiedTactico employs a two-phase training approach: first using tens of thousands of human games for imitation learning, then using millions of self-play games for reinforcement learning to converge toward a Nash equilibrium.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/928822API
curl https://kongchang.com/api/v1/knowledge/claims/928822MCP
get_claim(id=928822)