| title | W&B Models |
|---|---|
| description | Use W&B Models for experiment tracking, dataset versioning, model management, and collaborative ML development. |
| mode | wide |
W&B Models is the system of record for ML Practitioners who want to organize their models, boost productivity and collaboration, and deliver production ML at scale.
<img src="/images/general/architecture.png" alt="W&B Models architecture diagram" style={{width: "450px"}} />
With W&B Models, you can:
- Track and visualize all ML experiments.
- Optimize and fine-tune models at scale with hyperparameter sweeps.
- Maintain a centralized hub of all models, with a seamless handoff point to devops and deployment
- Configure custom automations that trigger key workflows for model CI/CD.
Machine learning practitioners rely on W&B Models as their ML system of record to track and visualize experiments, manage model versions and lineage, and optimize hyperparameters.
{/* Learn how to fine-tune a model with W&B Models and Weave in this Colab notebook. */}