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How Riskfuel uses Weights & Biases

As published on wandb.ai, November 2024. Captured by usedby on Oct 8, 2026.

What happened

Riskfuel uses Weights & Biases experiment tracking to monitor and compare model training runs across many client projects, where it builds neural network replicas of derivatives pricing models. The team uses W&B Models and its workspace dashboard to track which models, code and architectures were used and what accuracy they achieved.

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

W&B is the most robust and scalable way to track multiple machine learning projects, without having to handle a lot of infrastructure about tracking or tagging models,” said Chatigny. “When we have 20 plus+ projects and we want to be able to come back easily to figure out what kind of accuracy we got

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

W&B is the most robust and scalable way to track multiple machine learning projects, without having to handle a lot of infrastructure about tracking or tagging models.

Philippe Chatigny, Senior ML Research Engineer, Riskfuel. 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 Riskfuel.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • Riskfuel uses Weights & BiasesCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

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