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Systematically search hyperparameter space. Use when tuning learning rate, batch size, or other hyperparameters.
Interactive diagnostic workflow for training problems. Use when training is failing, loss is stuck, gradients explode, N...
Execute a neural network training run with mandatory monitoring and best-practice defaults. Use when user wants to train...
Design rigorous experiments before running them. Use when planning experiments, testing hypotheses, or designing ablatio...
View training progress in real-time. Use when checking on running training, viewing live metrics, or opening dashboards.
Run model validation on a dataset. Use when testing model performance, comparing checkpoints, or running final evaluatio...
Analyze training logs and explain what's happening. Use when reviewing training runs, understanding loss curves, or diag...
Run scaling experiments to understand model/data/compute relationships. Use when investigating scaling laws, compute-opt...