Moral Self-Correction in Large Language Models | paper explained

We explain why large language models (LLM) suffer from multiple personality disorder and how they can morally self-correct with instructions. We elucidate technical terms such as RLHF (reinforcement learning from human feedback), explain "instruction following" and "Chain of Thought" prompting (CoT).
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📜 Ganguli, Deep, Amanda Askell, Nicholas Schiefer, Thomas Liao, Kamilė Lukošiūtė, Anna Chen, Anna Goldie et al. "The capacity for moral self-correction in large language models." arXiv …

explained feedback human human feedback information language language models large language models llm multiple paper personality prompting question answering reinforcement reinforcement learning rlhf support technical terms thought