[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fPZ2KQI74DQUsgutpOTdZELk0wUWNHNzTe42DLchj2FM":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":25,"type":35},[],"2025-05-10 06:37:14",1069533185,[8,9,10,11],"标签化数据集","手动构建的规则","大规模的无监督文本数据","图像数据",{"courseId":13,"workId":14,"workName":15},"1000128447","61792231","第五章单元测试","大语言模型的预训练阶段通常使用的数据是:( )",[18,27,32,36,47],{"answer":19,"createTime":5,"id":20,"options":21,"question":24,"source":25,"type":26},[],1069533181,[22,23],"对","错","分解复杂任务是引导大语言模型生成高质量回答的策略之一.( )","v2",3,{"answer":28,"createTime":5,"id":29,"options":30,"question":31,"source":25,"type":26},[],1069533183,[22,23],"提示词必须包含上下文信息才能让大语言模型生成回答.( )",{"answer":33,"createTime":5,"id":6,"options":34,"question":16,"source":25,"type":35},[],[8,9,10,11],0,{"answer":37,"createTime":38,"id":39,"options":40,"question":45,"source":25,"type":46},[],"2025-05-10 06:37:15",1069533187,[41,42,43,44],"自监督学习(Self-supervised Learning)","强化学习人类反馈(RLHF)","对抗生成网络(GAN)","有监督微调(Supervised Finetuning)","以下哪些技术属于大语言模型的训练优化方法?( )",1,{"answer":48,"createTime":38,"id":49,"options":50,"question":55,"source":25,"type":35},[],1069533189,[51,52,53,54],"卷积神经网络(CNN)","循环神经网络(RNN)","Transformer架构","决策树算法","大语言模型(如GPT系列)的核心技术基础是:( )"]