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The AI Scouting Report: Jailbreaks and Defense

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Mitigating Overfitting in AI with Reward Model Ensembles

This chapter explores the challenges of reinforcement learning from human feedback, particularly the pitfalls of overfitting when relying on a single reward model. It advocates for an ensemble approach to reward modeling, introducing methods to enhance AI systems by integrating diverse human feedback.

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