Weights & Biases (W&B) is the AI developer platform, with tools for training models, fine-tuning models, and leveraging foundation models.

W&B consists of three major components: Models, Weave, and Core:

W&B Models is a set of lightweight, interoperable tools for machine learning practitioners training and fine-tuning models.

• Experiments: Machine learning experiment tracking

• Sweeps: Hyperparameter tuning and model optimization

• Registry: Publish and share your ML models and datasets

W&B Weave is a lightweight toolkit for tracking and evaluating LLM applications.

W&B Core is set of powerful building blocks for tracking and visualizing data and models, and communicating results.

• Artifacts: Version assets and track lineage

• Tables: Visualize and query tabular data

• Reports: Document and collaborate on your discoveries