EvoLib: Turning experience into evolving knowledge

KEY POINTS

1. Microsoft Research published a post about EvoLib, an approach that aims to convert accumulated experience into evolving knowledge by extracting reusable skills and insights to help LLMs learn and adapt across tasks after deployment.
2. The post emphasizes that LLMs do not get smarter simply by remembering more, and positions EvoLib as a way to reuse experience for long-term adaptability.
3. If effective, EvoLib could let models improve and adapt over time by turning experience into reusable knowledge rather than merely increasing memory, affecting post-deployment learning strategies.