A Deep Dive into Reasoning LLMs
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The curator’s take
This survey explores how LLMs can be enhanced after pretraining through fine-tuning, reinforcement learning, and efficient inference strategies. It also highlights challenges like catastrophic forgetting, reward hacking, and ethical considerations, offering a roadmap for more capable and trustworthy AI systems.
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