Autonomous Model Agents for Elastic Deep Learning Environments
1. Introduction
As deep learning systems scale in complexity, data volume, and deployment diversity, managing training and inference pipelines has become increasingly resource-intensive. Traditional static resource allocation strategies often struggl...
