[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$flitkFz6yZLyfHHoM8GPxitThiggto0emaY0Ov54ZIqA":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2025-11-28 01:26:02",243666194,[8,9,10,11],"Git","Word","Excel","PPT",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},177,"1f81fb2bb0d133c4014e6e2de18b8a7d","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F25b30343053994e8940089572d36015b.jpg","人工智能通识教育","work_46722557","第五章","大模型常用的版本控制工具是( )",[21,32,41,50,55,64,73,82,91,100],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],243666185,[25,26,27,28],"豆包语音识别模型","豆包声音复刻模型","豆包文生图模型","豆包Function call模型","豆包大模型的语音识别模型是( )","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],243666186,[36,37,38,39],"生成代码","生成视频","生成法律文书","生成操作系统","豆包大模型不能用于( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],243666187,[45,46,47,48],"几万到几十万","几十亿到数千亿","几百到几千","几千万到一亿","大模型通常包含的参数规模是( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":54,"source":30,"type":31},[],243666188,[26,25,27,28],"豆包大模型的声音复刻模型是( )",{"answer":56,"createTime":5,"id":57,"options":58,"question":63,"source":30,"type":31},[],243666189,[59,60,61,62],"分析文档","生成会议纪要","设计农产品包装","制造汽车","腾讯元宝不能用于( )",{"answer":65,"createTime":5,"id":66,"options":67,"question":72,"source":30,"type":31},[],243666190,[68,69,70,71],"Kimi-Math","Kimi-VL-Thinking","Kimi-Coder","Kimi-VL","Kimi的数学模型是( )",{"answer":74,"createTime":5,"id":75,"options":76,"question":81,"source":30,"type":31},[],243666191,[77,78,79,80],"2015","2017","2020","2022","Transformer架构是在哪一年提出的?( )",{"answer":83,"createTime":5,"id":84,"options":85,"question":90,"source":30,"type":31},[],243666192,[86,87,88,89],"图像识别","提示学习","语音合成","代码生成","大模型能够理解并执行用户使用自然语言给出的指令,这种能力称为( )",{"answer":92,"createTime":5,"id":93,"options":94,"question":99,"source":30,"type":31},[],243666193,[95,96,97,98],"ERNIE-ViL","ERNIE-SAT","文心一格","所有以上","文心大模型的跨模态模型是( )",{"answer":101,"createTime":5,"id":6,"options":102,"question":19,"source":30,"type":31},[],[8,9,10,11]]