RRHF：无需痛苦排名回应，将语言模型与人类反馈对齐（英文版）

英文标题：RRHF: Rank Responses to Align Language Models with Human Feedback without tears中文摘要：RRHF 是一种新的学习范式，通过排名损失函数对生成的回答进行评分，从而能够有效地将语言模型输出与人类偏好对齐，而且只需要 1 到 2 个模型进行调整，效果与微调相当。英文摘要：Reinforcement Learning from Human Feedback (RLHF) facilitates the alignmentof large language models with human preferences, significantly enhancing thequality of interactions between humans and these models. InstructGPT implementsRLHF through several stages, including Supervised Fine-Tuning (SFT), rewardmodel training,