Skip to content

Details

Join us to explore SkillOpt, a framework that treats an agent’s skill as a trainable state rather than static prompt text. We’ll discuss how agent rollouts can drive bounded, validation-gated edits such as adding, removing, or replacing skill content, to improve reliability while keeping deployment-time inference unchanged. The session will cover the paper’s optimization strategy, safeguards against unproductive revisions, and the practical implications of transferable, self-evolving skills for agentic systems.

Slides for past meetups posted: Github
Recordings posted at: YanAITalk
Feel free to reach out if you want to present at upcoming meetups!

Note: You must have a Zoom account to login (free account is sufficient). Zoom Link will be posted to the event page one day before the meetup.

Related topics

Artificial Intelligence
Deep Learning
Machine Learning
Data Science
Algorithms

You may also like