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Weights and Biases

MLOps Freemium

Tools for tracking experiments, managing models and evaluating LLM apps.

About Weights and Biases

Weights and Biases, often shortened to W and B, is a platform that machine learning teams use to keep track of experiments. You log metrics while a model trains, then compare runs in dashboards to see what actually worked. It also handles datasets, model versions and hyperparameter sweeps, and its Weave product traces and evaluates language model applications. Researchers like it for reports they can share, with charts and notes in one place. There is a free tier for individuals and academics, with paid plans for teams and dedicated deployments. It is a long-standing standard in ML research and production.

Standout features

  • Experiment tracking
  • Dashboards and reports
  • Hyperparameter sweeps
  • Model registry
  • Weave for LLM apps
  • Artifact versioning

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