Duke University

Recent advancements in (self) supervised learning models have been driven by empirical scaling laws, where a model's performance scales with its size. However, such scaling laws have been challenging to establish in reinforcement learning (RL). Unlike...
Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. However, there have been certain difficulties in optimizing LLMs for more effective human instruction delivery. While LLMs...

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