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An experiment-tracking platform called Weights & Biases is now used by thousands of ML teams deploying models across automotive, pharma, ag‑tech and B2B software, and the same concrete patterns and anti‑patterns recur. The claim: follow a set of engineering practices—experiment versioning, reproducible pipelines, clear model contracts and monitoring—to turn prototypes into reliable production models; examples include cross‑industry deployments that scaled and shipped, not just published.

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