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Training & fine-tuning

Weights & Biases

Keeps a record of your AI training experiments so you can track, compare and share results.

Widely usedNew this week

What it does

When people train AI models, they run many experiments with different settings. Weights & Biases (W&B) is a code library that records each run: the settings used, the scores it reached and the files it made. You can then view charts of the results on the W&B website.

It works with many popular machine-learning tools. W&B can be used in its cloud service or installed on your own servers. The makers also offer Weave, a related set of tools for checking and monitoring AI chat apps.

Who it's for

Data scientists and machine-learning engineers who train or fine-tune models and want to keep track of their work.

Can I use it without coding?

Developers only. You add it to your own Python training code and need a W&B account. New to this? Start here.

Can I run it?

Cost
Free, with optional paid extrasThe open-source version is free; the makers also sell a hosted or pro version.
Runs on
Cloud, Server
Computer
An ordinary computer is fine
Privacy
Your choice: run it on your device or use an online service
API key
Needed. An API key is a password-like code from an online AI service. What's that?

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (MIT): Very permissive: free to use, change and share, including for business.
  • Keep your API key private. Never paste it into websites or share it, and set a spending limit with the AI service.
  • More on staying safe

Where people are talking about it