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When you ask a large language model to summarize a policy or write code, you probably assume it will behave safely. But what happens when someone tries to trick it into leaking data or generating harmful content? That question is driving a wave of research into AI guardrails, and a new open-source project called OpenGuardrails is taking a bold step in that direction. Created by Thomas Wang of OpenGuardrails.com and Haowen Li of The Hong … More → The post OpenGuardrails: A new open-source model aims to make AI safer for real-world use appeared first on Help Net Security.
http://news.poseidon-us.com/TP605q