Transparent
We cite all the algorithms that we’re using, and show all the logs of sweep progress. You have complete visibility.
Lightweight
It’s easy to get started. We’ve dealt with edge cases, so you don’t have to worry about concurrent runs and crashing runs.
Powerful
Our sweeps are infinitely customizable. You can pick your own distribution for inputs, specify logic, and use early stopping.
Parameter importance
Visualize which hyperparameters affect the metrics you care about. Weights & Biases comes with default visualizations that make it easy to get started without writing custom code to compare machine learning experiments.
Bayesian optimization
Use our transparent implementations of popular algorithms, or customize your own logic for sweeps.
Early stopping
We implemented the Hyperband algorithm to save GPU hours with customizable early stopping. This feature keeps the most promising, best performing runs running and kills off the bottom runs. Agents are then freed up to try new hyperparameter combinations.
Massive scale
Our sweeps can handle massive scale, and we support early stopping so you can quickly optimize over thousands of hyperparameter combinations without wasting GPU hours.
Collaborate centrally
Visualize all your hyperparameter sweeps in one unified place with our dashboard.
The Weights & Biases platform helps you streamline your workflow from end to end
Models
Experiments
Track and visualize your ML experiments
Sweeps
Optimize your hyperparameters
Registry
Publish and share your ML models and datasets
Automations
Trigger workflows automatically
Launch
Package and run your ML workflow jobs
Weave
Traces
Explore and
debug LLMs
Evaluations
Rigorous evaluations of GenAI applications
