Industrial AI Distributed High-Efficiency Lightweight Modeling Methods
摘要
In this chapter focuses on industrial AI distributed time-efficient lightweight modeling methods, including industrial cloud-side distributed AI model framework, lightweight industrial AI model construction methods, industrial AI model lightweight adaptive knowledge distillation methods, and dynamic adaptive industrial AI model construction methods. Through distributed computing and lightweight model construction, industrial systems can better adapt to different environments and scenarios while ensuring high timeliness. This section aims to help readers understand how to realize efficient industrial intelligence modeling in industrial production.