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
- 01Tiered pipeline: cheap fast filter → LLM only for borderline
- 02Per-category precision/recall targets by severity
- 03Hash-matching/specialized pipelines for the worst content (not LLM)
- 04Human review queue + appeals (false-positive recovery)
- 05Adversarial robustness; regional policy; explainability
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