Lecture on Self-Improving Foundation Models
pratyushmaini · x · 2026-07-16
This post shares a summer lecture on self-improving foundation models delivered by Furong Huang, Associate Professor at the University of Maryland.
Key takeaways from the slides include:
- The discussed models can discover, explain, and recover from their own failures.
- "Trustworthiness" is not a static attribute but a dynamic challenge.
- The focus is on enabling foundation models to continuously self-correct during runtime, rather than just performing well in offline evaluations.
The post notes that this is the fourth installment in their summer lecture series and includes the full video.
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