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AI · January 30, 2020

Sweeps

Scalable, customizable hyperparameter tuning

Sweeps launched on January 30, 2020 with 92 votes, #363 of 3,486 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.

Visit wandb.ai ↗Sweeps alternativestop 10% of January 2020

What it does

Hyperparameter tuning is a way to find the best machine learning model. We make it ridiculously easy to run hyperparameter sweeps using simple algorithms like grid search, to more modern approaches like bayesian optimization and early stopping.

Discover scalable hyperparameter tuning and AI workflow integration with W&B Sweeps, boosting efficiency and customization in AI projects.

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