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ResearchOfficialPreprintarXiv Machine Learning

Interactive Training 2: Auditable Control Plane for Live Model Training

Interactive Training 2 is an open-source control plane designed to steer live model training runs through a shared protocol. It allows both humans and automated controllers to submit requests, which are validated and applied at safe control points during training. The system features a customized Aim workspace that integrates live metrics, controls, and a chronological record of requests and outcomes. Demonstrations were conducted across five NLP and reinforcement-learning workflows.

Why it matters: This system offers a reusable and auditable foundation for human- and agent-guided training, potentially enhancing transparency and control in live model training processes.

Full story at: arXiv Machine Learning