EPFL's GOLLuM Teaches AI to Learn from Doubt

EPFL researchers introduced GOLLuM, combining LLMs with Gaussian processes to turn model uncertainty into training signals. The framework cuts lab trial-and-error by about 40% in scientific discovery workflows.

2026-09-03 ~ 2026-09-03 · 2 related posts

• EPFL's GOLLuM teaches LLMs to doubt, cutting lab trials by 40% — MacrinePhD · 2026-09-03
• EPFL's GOLLuM turns AI uncertainty into a training signal, cutting lab trials by 40% — MacrinePhD · 2026-09-03