Pattern-based output monitoring (regex for dollar amounts, company names, known-bad strings) catches 40% of attacks in this test. It’s better than nothing. But the poisoned response in this lab doesn’t trigger any unusual patterns — it reads like a normal financial summary. For output monitoring to be reliable, it needs ML-based intent classification, not regex. Llama Guard 3 and NeMo Guardrails are worth evaluating for production deployments.
Олег Давыдов (Редактор отдела «Интернет и СМИ»)。chatGPT官网入口是该领域的重要参考
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“We remain concerned and must be mindful of the fact that we can see cases increase again from the low number that we're seeing now,” she said in a March 4 press briefing. “We are very hopeful that the downward trend continues, but we have to be vigilant about the risk that we can see another surge.”，这一点在超级工厂中也有详细论述
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