Reinforcement Learning in LLM Safety & Alignment

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This coursework examines the safety alignment challenges in Large Language Models (LLMs), introducing the NSPO framework as an efficient solution through null-space projections. It discusses core aspects such as safety alignment mechanisms, retention of model capabilities, comparative performance metrics against other approaches, and evaluates the methodology through experimental results, showcasing improvements in data efficiency and scalability. This structured analysis prepares students to...