π§ Generalist Reward Modeling: Inference, Generation, and Scaling
Send us Fan Mail See related Substack to go deeper. The episode unpacks the paper "Inference Time Scaling for Generalist Reward Modeling" from Deep Seek AI and Tsinghua University, revealing a critical innovation in AI development that's flying under most people's radar. Beyond the jargon lies a revolutionary concept: rather than just making AI models bigger, researchers have discovered more efficient ways to improve AI performance by enhancing how models evaluate their own output...
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