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Weights & Biases

Experiment tracking and evals

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What Weights & Biases is

Weights & Biases is a platform for machine learning experiment tracking and AI application evaluation. It documents training runs, compares results, tracks datasets and registers model assets, and it also covers evaluation of AI applications for model and product teams.

What you can do it

  • Log training metrics and runs
  • Compare experiments side by side
  • Register and version models
  • Evaluate application behaviour

Who it is for

  • Machine learning engineers
  • Model teams
  • AI product teams

What to watch out for

  • Data permissions, team conventions and evaluation definitions need agreeing before use
  • Logged data may include sensitive training data or prompts; review retention
  • Full capability is more than lightweight personal projects need
  • Confirm current pricing and storage limits

Pros & cons

✓ What we like

  • Standard tooling for experiment tracking
  • Model registry and evaluation together
  • Team-oriented

! What to watch out for

  • Log data governance needed
  • Overkill for small projects
  • Pricing and storage to confirm

FAQ

Who is it for?

Machine learning engineers, model teams and AI product teams.

Can it replace manual review?

No. Evaluation definitions and decisions remain with people.

What should I prepare?

Goals, materials and constraints such as documents, scripts and output format.

Last reviewed: 2026-09-17

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