精选理由
微软出了个SkillOpt，把改智能体指令这事变成自动训练，不改模型参数就能让行为更稳，适合搞Agent应用的人看看。
微软研究院提出SkillOpt方法，解决AI智能体因手动修改指令导致行为不可靠的问题。SkillOpt将技能编辑转化为训练过程，优化智能体行为而不改变模型权重。实验表明该方法在多个基准测试中提升任务成功率。
原文 · Microsoft Research
AI agents often fail because their instructions, or skills, are manually modified with no guarantee ...
AI agents often fail because their instructions, or skills, are manually modified with no guarantee of improvement. Learn how SkillOpt turns skill editing into a training process, making agent behavior more reliable without changing model weights: msft.it/6012vsvEs Your browser does not support the video tag. 🔗 View on Twitter 💬 1 🔄 3 ❤️ 9 👀 2206 📊 4 ⚡