The Intersection of LLMs and Reinforcement Learning

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Large language models are traditionally associated with pretraining on vast text corpora and supervised fine-tuning. Yet the most significant capability jumps in recent years, from instruction following to extended chain-of-thought reasoning, have come from reinforcement learning. Understanding how RL shapes modern LLMs