Training language models to follow instructions with human feedback LLMs之InstructGPT:《Training language models to follow instructions with human feedback》翻译与解读 https://arxiv.org/pdf/2203.02155 摘要 这篇论文的目标是通过引入一种基于人类反馈的训练方法,来让语言模型更好地按照用户意图行事。这是因...
Our models generalize to the preferences of "held-out" labelers that did not produce any training data Public NLP datasets are not reflective of how our language models are used:采用FLAN、T0数据集微调的GPT-3,效果仅能与SFT持平,我们认为原因有二:第一,公开的NLP数据集在任务层面,只能覆盖真实用户...
尽管InstructGPT仍会犯一些简单的错误,我们的结果表明,通过人类反馈进行微调是一个有前景的方向,可以使语言模型与人类意图对齐。 论文标题:Training language models to follow instructions with human feedback 机构:OpenAI 论文链接:https://arxiv.org/pdf/2203.02155.pdf 概述大型语言模型存在的问题:不一定能更好地...
reward model 奖励模型的架构和GPT-3相同,只不过把最后一层换成投影层输出score,损失函数如下,和learning2rank的思路相似: 其中w排在l前面,其实就是最大化正序对score的差值
Training language models to follow instructions. 研究中的一个一致发现是,在一系列NLP任务上微调LMs和指令,可以提高其在零射击和少射击设置下的下游任务性能。 Evaluating the harms of language models. 语言模型可以产生有偏见的输出,泄漏私人数据,生成错误信息,并被恶意使用 ...
内容提示: Training language models to follow instructionswith human feedbackLong Ouyang ∗ Jeff Wu ∗ Xu Jiang ∗ Diogo Almeida ∗ Carroll L. Wainwright ∗Pamela Mishkin ∗ Chong Zhang Sandhini Agarwal Katarina Slama Alex RayJohn Schulman Jacob Hilton Fraser Kelton Luke Miller Maddie ...
Training language models to follow instructions with human feedback Long Ouyang∗ Jeff Wu∗ Xu Jiang∗ Diogo Almeida∗ Carroll L. Wainwright∗ Pamela Mishkin∗ Chong Zhang Sandhini Agarwal Katarina Slama Alex Ray John Schulman Jacob Hilton Fraser Kelton Luke Miller Maddie Simens Amanda A...
ReadPaper是深圳学海云帆科技有限公司推出的专业论文阅读平台和学术交流社区,收录近2亿篇论文、近2.7亿位科研论文作者、近3万所高校及研究机构,包括nature、science、cell、pnas、pubmed、arxiv、acl、cvpr等知名期刊会议,涵盖了数学、物理、化学、材料、金融、计算机科
Making language models bigger does not inherently make them better at following a user's intent. For example, large language models can generate outputs that are untruthful, toxic, or simply not helpful to the user. In other words, these models are not aligned with their users. In this pape...
Training language models to follow instructions with human feedback. Advances in Neural Information Processing Systems, 35, 2022. [39] Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, et al. Check your facts and try again: Im...