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Data Pipelines Optimize for Throughput. AI Training Needs Determinism

TL;DR — Data pipelines built for analytics are fault-tolerant by reordering records on retry, parallel reads, and backfills — and nobody notices because SUM() doesn't care about order. Model training does. Nondeterministic ingestion order silently changes which near-duplicates survive dedup, which…

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  1. 2026-11-07 14:16 · DEV Community — Machine Learning
    Data Pipelines Optimize for Throughput. AI Training Needs Determinism

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