蚂蚁集团与港科大(广州)提出Skill-MAS,将多智能体编排转化为可进化元技能

Ant Group and HKUST(GZ) Propose Skill-MAS, Turning Multi-Agent Orchestration into Evolvable Meta-Skills

精选理由

蚂蚁和港科大的新框架Skill-MAS,把多智能体经验打包成可复用的元技能,在DeepSeek-V4-Flash上验证有效,做多智能体开发可以看看。

AI 摘要

蚂蚁集团与香港科技大学(广州)联合提出Skill-MAS框架,该框架将多智能体系统设计经验抽象为可重用的元技能。在DeepSeek-V4-Flash等模型上的实验验证了其有效性,能够通过元技能进化机制提升多智能体协作效率,并实现跨场景迁移。此外,Skill-MAS支持动态组合元技能以适应不同任务需求。

原文 · pandaily

Ant Group and HKUST(GZ) Propose Skill-MAS, Turning Multi-Agent Orchestration into Evolvable Meta-Skills

Ant Group and HKUST(GZ) introduce Skill-MAS, a framework that evolves multi-agent system design experience into reusable meta-skills, validated on DeepSeek-V4-Flash and other models.