Visual debugging tools can reveal hidden training dynamics in generative models—GFlowState shows sampling patterns, policy evolution, and failure modes that standard metrics alone cannot expose.
GFlowState is a visual analytics tool that helps developers understand how Generative Flow Networks (GFlowNets) learn during training. GFlowNets generate samples based on reward functions, but their internal behavior is hard to interpret.