[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f1DPJN2MDnERH-JvYMdssqzo-V5DSOiQ_4lf_1cVSUqs":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":25,"type":41},[],"2026-05-09 10:24:42",1083828112,[8,9,10,11],"卷积神经网络(CNN)","循环神经网络(RNN)","Transformer架构","决策树算法",{"courseId":13,"workId":14,"workName":15},"1000128447","63526793","第五章单元测试","大语言模型(如GPT系列)的核心技术基础是:( )",[18,27,32,42,52],{"answer":19,"createTime":5,"id":20,"options":21,"question":24,"source":25,"type":26},[],1083828078,[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},[],1083828084,[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":34,"options":35,"question":40,"source":25,"type":41},[],1083828090,[36,37,38,39],"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":43,"createTime":5,"id":44,"options":45,"question":50,"source":25,"type":51},[],1083828101,[46,47,48,49],"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":53,"createTime":5,"id":6,"options":54,"question":16,"source":25,"type":41},[],[8,9,10,11]]