模型精选
微软SkillOpt：将智能体技能编辑转为训练过程，不调权重更可靠
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 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 ⚡
