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How Kabam uses Weights & Biases

As published on wandb.ai, October 2023. Captured by usedby on Oct 8, 2026.

What happened

Kabam's ML team uses Weights & Biases to log and visualize data from their ML pipelines, debug unexpected behavior through dashboards, and compare new experiments against previous runs. This supports an AI game design assistant that checks new code and game features for bugs.

Summary written by usedby from the source page, in English. The figures are those of Weights & Biases and Kabam, not ours.

Using the wandb.log function, the team can log almost everything they want in various ML workflows—numbers, images, video, audio, HTML, 3D, and much more. This allows the team to visualize and debug model pipelines with ease.

From the page. wandb.ai, captured Oct 8, 2026

Before W&B, whenever there was a behavior discrepancy, it was really hard to figure out what was wrong. Now, whenever we have a problem, we can usually solve it quickly, and most of the time, it’s as simple as looking at our dashboards.

Eric Chou, Senior Software Engineer, Kabam. Source, captured Oct 8, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 8, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Kabam.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • Kabam uses Weights & BiasesCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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