Main Purpose
W&B is an AI developer platform that provides tools for training models, fine-tuning models, and leveraging foundation models.
Key Features
- Experiments: Machine learning experiment tracking
- Model Registry: Manage production models centrally
- Launch: Scale and automate workloads
- Sweeps: Hyperparameter tuning and model optimization
- Artifacts: Version assets and track lineage
- Tables: Visualize and query tabular data
- Reports: Document and collaborate on discoveries
Use Case
- Tracking and versioning machine learning models and data
- Hyperparameter tuning and model optimization
- Managing production models
- Visualizing and querying tabular data
- Documenting and collaborating on discoveries
