EvoLib lets LLMs learn from their own runs without retraining
Microsoft Research’s EvoLib lets large language models turn every inference run into reusable skills and insights, without any labels or model updates. By continuously consolidating and reweighting these distilled nuggets, models can improve across new tasks long after deployment, essentially learning on the fly.