偏好对齐数据揭秘:清华博士解构“三驾马车”
摘要: 清华大学、哈尔滨工业大学和阿里安全的研究团队近日提出了AIR框架,深入剖析了影响大语言模型(LLMs)对齐效果的关键因素…
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摘要: 清华大学、哈尔滨工业大学和阿里安全的研究团队近日提出了AIR框架,深入剖析了影响大语言模型(LLMs)对齐效果的关键因素…
北京, – 在人工智能领域,大型语言模型(LLM)的对齐问题一直是研究的重点。近日,北京大学的研究团队推出了一种名为…
北京, – 在人工智能领域,大语言模型(LLMs)的对齐问题一直是研究的热点。近日,北京大学的研究团队推出了一项名为…
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在大语言模型(LLM)中,监督微调(SFT)和对齐(PPO、DPO)是两种不同的技术手段,它们在模型优化和任务适应上有不同的作用…
随着人工智能技术的不断进步,大型语言模型(LLM)已经成为推动信息处理和知识生成的重要力量。然而,这些模型在生成文本时有时会出现…