EvoLib: Turning experience into evolving knowledge
At a glance Self-supervised. EvoLib enables large language models to learn from their own experience during inference, without requiring ground-truth labels or external feedback. From experience to knowledge. EvoLib transforms past attempts into reusable skills and reflective insights that can be applied to future tasks. Knowledge that evolves. Useful skills and insights are continually refined, consolidated, and reweighted, turning instance-specific observations into increasingly general knowledge over time. Learn
Why this matters
This briefing preserves the publisher-provided context in a clean, searchable format. Use the original report for the complete announcement, technical details, evidence, and any subsequent updates.
READ THE ORIGINAL REPORT ↗