SkillOpt: Agent skills as trainable parameters

AI for PMs

Transitioning to SkillOpt means adopting a systematic, training-based approach to skill development for AI agents, which will enhance reliability and performance. Ignoring this shift risks deploying agents with skills that are prone to degradation and inefficiency, ultimately jeopardizing project success and user trust.

From the original

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. The post SkillOpt: Agent skills as trainable parameters appeared first on Microsoft Research .