王云鹤创业后交出首个模型
AI 导读
Agent-Native模型多模型协作后训练优化RSI验证商业生态
王云鹤创业公司基元律动发布首个Agent-Native模型NeoHorse，通过多模型执行经验转化提升Agent后训练效果，探索模型分工与路由系统结合的AI产业新路径。
BaseLine's NeoHorse, a first Agent-Native model from Wang Yunhe's startup, leverages multi-model execution experience to enhance post-training performance, exploring AI industry models specialization and routing system integration.
重点速览
- NeoHorse通过多模型执行数据训练，4B版本性能超同规模SOTA模型 NeoHorse's 4B version outperforms SOTA models in post-training
- Routing Harness系统实现多模型协作调度与执行轨迹分析 Routing Harness enables multi-model coordination and trajectory analysis
- 后训练提升聚焦Agent任务完成度与环境反馈处理能力 Post-training enhances task completion and environment feedback handling
- 构建模型-路由-服务商业闭环验证数据反哺训练价值 Model-routing-service loop validates data-to-training value
- 验证RSI工程闭环但尚未形成完整递归自我改进体系 Validates RSI engineering loop but lacks full self-improvement
一句话：基元律动通过模型训练与路由系统双向优化，推动AI产业模型分工精细化。 / BaseLine advances AI model specialization through bidirectional optimization of training and routing systems.
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