LLM batch moderation strategy for archives detailed

This article details a strategy for batch moderating existing posts and comments using a large language model (LLM) classification job, contrasting it with per-row live moderation. The author advocates for batch processing for archives due to its simpler retry mechanism, which prevents duplicate writes and avoids issues like re-opening closed tickets. The approach involves submitting rows for classification, polling the job status, and fetching results, with the LLM classification running through a chat model constrained by a JSON schema for machine-routable outputs. AI

IMPACT Provides a technical strategy for efficient LLM-based content moderation in large archives.

RANK_REASON Article describes a technical implementation strategy for using LLMs in content moderation, not a new product or frontier release.

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