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Articles tagged with #reinforcement-learning
Introduction: Reward hacking, a term that echoes through the corridors of reinforcement learning, poses a unique challenge. It's a scenario where an intelligent agent becomes a crafty trickster, learning to manipulate rewards to its advantage, even i...
Introduction: In the ever-expanding universe of Reinforcement Learning from Human Feedback (RLHF), the role of reward models is nothing short of paramount. These models serve as the cornerstone for fine-tuning Large Language Models (LLMs) to align wi...
Introduction: In the ever-evolving landscape of Large Language Models (LLMs), fine-tuning has emerged as a powerful technique to customize these models for specific tasks. However, while instruction fine-tuning has shown immense promise in improving ...
