LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning
This arXiv paper proposes a framework for Industrial Continual Learning (ICL) in large language models, addressing the challenge of continuously updating deployed models without retraining from scratch. The research identifies three core technical challenges—model plasticity erosion, capability inheritance breaks during upgrades, and deployment sustainability constraints—and proposes five lifecycle design principles to guide industrial LLM development and evolution.