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.

See an example report

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.

See example report

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 end-to-end AI developer platform

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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

Core

Artifacts

Version and manage your ML pipelines

Tables

Visualize and explore your ML data

Reports

Document and share your ML insights

SDK

Log ML experiments and artifacts at scale