You're Not Using Enough Guardrails — Here's What Actually Works

Описание и применение

Постгенерационный слой проверки обнаруживает и исправляет ошибки, которые пропускают фильтры до генерации, повышая безопасность и точность ИИ-вывода.

Задача

AI guardrails often focus on input filtering, missing costly output issues like fabricated citations, hallucinated tool arguments, system prompt leakage, safety refusal bypass, and code logic errors.

Результат

The post-generation guardrail system effectively catches and corrects output problems that pre-generation filters miss, improving reliability and safety of AI-generated content.

Рабочий процесс

• 1. Receive user prompt and send to LLM.
• 2. Generate output from the model.
• 3. Run the post-generation guardrail layer on the output.
• 4. Apply one of 31 correction strategies if a detector flags an issue.
• 5. If correction is ambiguous, flag the output for human review.
• 6. Deliver the corrected or reviewed output to the user.

Доказательства

Instead of filtering before generation, I built a layer that filters after generation. It uses 13 detectors across 5 categories, with 31 correction strategies that fix issues automatically.

Источник