Weights & Biases
VerifiedPlatform for tracking ML experiments, visualizing metrics, and collaborating on model development. Supports LLM evaluation and monitoring with 8,000+ GitHub stars.
Frameworks Covered
NIST-AI-RMF
Services
experiment-trackingmodel-evaluationdata-visualizationcollaboration
About Weights & Biases
Weights & Biases (W&B) is a platform for tracking machine learning experiments, visualizing performance, and collaborating on model development. It provides experiment tracking, dataset versioning, model evaluation, and production monitoring — with dedicated support for LLM workflows.
Features
- Experiment tracking (metrics, hyperparameters, system stats)
- Model evaluation and comparison
- Data visualization and custom dashboards
- LLM evaluation and tracing
- Artifact versioning for datasets and models
- Collaboration and report sharing
- Integration with PyTorch, TensorFlow, HuggingFace, LangChain
- Sweeps for hyperparameter optimization
Installation
pip install wandb
Loading reviews...