[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fYyMbxlNFNDYnhmVtYY5FPD7dppnCLdl8cGz-Wf9Ul3A":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":13,"question":17,"related":18,"source":26,"type":56},[],"2025-05-01 15:15:09",1069666748,[8,9,10,11,12],"监督学习需要标注数据,模型根据标签进行训练","无监督学习不需要标注数据,模型自行发现数据中的模式","强化学习通过奖励和惩罚机制来调整模型的行为","半监督学习结合了少量标注数据和大量未标注数据进行训练","发现学习通过分析数据中的规律,推导出新的知识或定律",{"courseId":14,"workId":15,"workName":16},"1000128446","61840050","第十一章单元测试","关于机器学习中的学习类型,以下哪些说法是正确的?( )",[19,28,38,47,57],{"answer":20,"createTime":5,"id":21,"options":22,"question":25,"source":26,"type":27},[],1069666744,[23,24],"对","错","大语言模型通过自注意力机制能够同时处理序列中的所有词,而不需要逐词处理.( )","v2",3,{"answer":29,"createTime":5,"id":30,"options":31,"question":36,"source":26,"type":37},[],1069666745,[32,33,34,35],"通过不断调整词向量","通过反向传播和梯度下降法调整参数","通过增加训练数据的数量","通过减少模型的层数","大语言模型的训练过程中,模型通过什么方式逐步优化?( )",0,{"answer":39,"createTime":5,"id":40,"options":41,"question":46,"source":26,"type":37},[],1069666746,[42,43,44,45],"如何让机器像人一样思考","如何提高计算机的计算速度","如何开发更高效的编程语言","如何设计更强大的硬件设备","1956年达特茅斯会议的主要议题是什么?( )",{"answer":48,"createTime":5,"id":49,"options":50,"question":55,"source":26,"type":56},[],1069666747,[51,52,53,54],"大语言模型能够生成连贯流畅的自然语言文本","大语言模型能够处理复杂的推理任务","大语言模型能够实时更新其知识库以反映最新的信息","大语言模型能够完全避免生成带有偏见的内容","关于大语言模型的能力,以下哪些说法是正确的?( )",1,{"answer":58,"createTime":5,"id":6,"options":59,"question":17,"source":26,"type":56},[],[8,9,10,11,12]]