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Developer shares LLM method for text moderation using JSON schema

By PulseAugur Editorial · [1 sources] ·

A developer shares a method for labeling unsafe text using chat completions and a JSON schema, particularly useful when a dedicated moderation endpoint is unavailable. This approach involves crafting a strict JSON schema to define output categories and using a system prompt for policy definitions. The developer found that consolidating labels into six categories improved model consistency and that the economics of using chat models for this task are favorable due to the short input and output lengths. AI

IMPACT Provides a cost-effective alternative for content moderation using LLMs when dedicated services are unavailable.

RANK_REASON Developer shares a technical method for implementing a feature.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer shares LLM method for text moderation using JSON schema

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · ColeMitchell4991 ·

    Labeling unsafe text without a moderation endpoint: chat completions and a JSON schema

    <p>Use a chat completions call with a strict JSON schema when you need moderation-style labeling of user content and your provider has no moderation endpoint; reach for a dedicated moderation API when your policy already matches an off-the-shelf taxonomy. The label set I ship is …

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