Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems 事件

Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems arXiv:2603.24963v3 Announce Type: replace Abstract: Modern computational advertising platforms typically rely on recommendation systems to predict user responses, such as click-through rates, conversion rates, and other optimization events. To support a wide variety of product surfaces and advertiser goals, these platforms frequently maintain an extensive ecosystem of machine learning (ML) models. However, o