Lilian Weng 💬 : Rule-based rewards (RBRs) use model to provide RL signals based on a set of safety rubrics, making it easier to adapt to changing safety policies wo/ heavy dependency on human data. It...

Lilian Weng 07月10日

本文介绍了OpenAI开发的基于规则的奖励（RBRs）方法，通过模型提供基于安全规则的RL信号，实现无需大量人类数据即可安全地调整AI行为，提升系统安全性和可靠性。

Lilian Weng @lilianweng

Rule-based rewards (RBRs) use model to provide RL signals based on a set of safety rubrics, making it easier to adapt to changing safety policies wo/ heavy dependency on human data. It also enables us to look at safety and capability in a more unified lens as a more capable

OpenAI @OpenAI

We’ve developed Rule-Based Rewards (RBRs) to align AI behavior safely without needing extensive human data collection, making our systems safer and more reliable for everyday use. https://t.co/54IgGtwKdv

openai.com

Improving Model Safety Behavior with Rule-Based Rewards

We've developed and applied a new method leveraging Rule-Based Rewards (RBRs) that aligns models to behave safely without extensive human data collection.

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