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Trust & Safety / Content Moderation at Scale

Trust & Safety / Content Moderation at Scale

Design LLM-based moderation for a platform with millions of posts/day — detect and act on harmful content under tight latency.

Key Requirements

  • Tiered pipeline: cheap fast filter → LLM only for borderline
  • Per-category precision/recall targets by severity
  • Hash-matching/specialized pipelines for the worst content (not LLM)
  • Human review queue + appeals (false-positive recovery)
  • Adversarial robustness; regional policy; explainability

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