Reports
Share insights and enhance collaboration in deep learning projects
W&B Reports enable you to document findings from your machine learning experiments and share them with your team and internal stakeholders. Track results dynamically, keep everyone informed, gather feedback, and plan your next steps. Plus, you can compare results across projects and set benchmarks.
Track results dynamically
Say goodbye to screenshots and unorganized notes. Embed plots, notes, and dynamic experiments with flexible formats. Keep track of your results and plan your next research direction.
Communicate effectively
It’s never been easier to share updates and outcomes of your machine learning projects with your coworkers and internal stakeholders. Explain how your model works, show plots and visualizations of how your model versions improved, discuss bugs, and demonstrate progress towards milestones.
Gather feedback
Make live comments, describe your findings, and take snapshots of your work log.
Set benchmarks across projects
Easily compare results from two different projects and establish benchmarks that are automatically updated.
For more information see our docs
The Weights & Biases platform helps you streamline your workflow from end to end
Models
Weave
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
Weave
Traces
Explore and
debug LLMs
Evaluations
Rigorous evaluations of GenAI applications