Think it, Run it: Autonomous ML pipeline generation via self-healing multi-agent AI

ArXi:2604.27096v1 Announce Type: new The purpose of our paper is to develop a unified multi-agent architecture that automates end-to-end machine learning (ML) pipeline generation from datasets and natural-language (NL) goals, improving efficiency, robustness and explainability. A five-agent system is proposed to handle profiling, intent parsing, microservice recommendation, Directed Acyclic Graph (DAG) construction and execution.