Conversational AutoML with Multi-Agent Architecture and Monte Carlo Tree Search for Hyperparameter Optimization
Automated Machine Learning (AutoML) reduces the technical requirements for applying machine learning, yet existing systems still demand technical expertise, optimize inefficiently, and rarely support conversational use. We present a conversational AutoML system with a five-agent architecture coordinated via natural lan...