[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fdZ_TSGYvMhID7oAGBG7oElbPwAxZnvE0xvWc1zIG6-k":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":14,"related":15,"source":21,"type":22},[],"2025-04-28 17:41:49",1069533170,[8,9],"对","错",{"courseId":11,"workId":12,"workName":13},"1000128447","61792234","第五章单元测试","提示词必须包含上下文信息才能让大语言模型生成回答.( )",[16,23,26,36,46],{"answer":17,"createTime":5,"id":18,"options":19,"question":20,"source":21,"type":22},[],1069533168,[8,9],"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":24,"createTime":5,"id":6,"options":25,"question":14,"source":21,"type":22},[],[8,9],{"answer":27,"createTime":5,"id":28,"options":29,"question":34,"source":21,"type":35},[],1069533172,[30,31,32,33],"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","大语言模型的预训练阶段通常使用的数据是:( )",0,{"answer":37,"createTime":5,"id":38,"options":39,"question":44,"source":21,"type":45},[],1069533174,[40,41,42,43],"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":47,"createTime":5,"id":48,"options":49,"question":54,"source":21,"type":35},[],1069533177,[50,51,52,53],"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:( )"]