W&B Models End-to-End Demo - Complete ML Experiment Tracking and Model Management

Explore a comprehensive 16-minute demonstration of W&B Models, the system of record for AI teams managing the complete model development lifecycle. Learn how to monitor training metrics, understand GPU utilization, view media, and track artifacts with minimal code implementation through a real reinforcement learning robotics project example. Discover automatic visualization generation, alert systems, and hyperparameter tuning sweeps while understanding how to maintain synchronized evaluations with training results. Master artifact management, registry operations, and model lineage tracking to enhance reproducibility, auditability, and team collaboration across data scientists, AI engineers, and researchers. See how customizable workspaces, automated reports, and triggered evaluations reduce operational overhead, allowing teams to focus on building superior models regardless of framework choice (PyTorch, Keras, Hugging Face) or deployment environment (on-premises or cloud-based).