[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fMGFy9_JDFMgEQYVTq4_ps6JhTzPNec0EptCQ2kclJ9w":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2024-09-23 21:18:26",160035921,[8,9,10,11],"单模态 LLM","多模态 LLM","生成式预训练模型","问答系统",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},8,"5d67f659cb362676f2848d27f220bcda","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff638e668d1d4833af73eef231795c906.jpg","人工智能与创新","2cb8556d012e4feaa389bbf80871633a","2.7 LM、Transformer和LLM","OpenAI 最新发布的 GPT-4o 是一个? ( )",[21,32,40,49,58,67,75,81],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],160035914,[25,26,27,28],"翻译文本","生成新的句子","评估句子概率","以上都是","语言模型的主要功能是?( )","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":39,"source":30,"type":31},[],160035915,[36,37,38,11],"聊天机器人","推荐系统","图像识别","以下哪个不属于语言模型的应用场景?( )",{"answer":41,"createTime":5,"id":42,"options":43,"question":48,"source":30,"type":31},[],160035916,[44,45,46,47],"循环神经网络","自注意力机制","卷积神经网络","递归神经网络","Transformer 网络的核心创新点是? ( )",{"answer":50,"createTime":5,"id":51,"options":52,"question":57,"source":30,"type":31},[],160035917,[53,54,55,56],"序列中其他元素的信息","序列中第一个元素的信息","序列中最后一个元素的信息","以上都不对","自注意力机制允许模型在处理序列中的每个元素时,还能考虑到? ( )",{"answer":59,"createTime":5,"id":60,"options":61,"question":66,"source":30,"type":31},[],160035918,[62,63,64,65],"可以并行处理序列中的不同部分","可以处理长句子","训练速度很快","可以捕捉长距离依赖关系","以下哪个不是 Transformer 网络的优点? ( )",{"answer":68,"createTime":5,"id":69,"options":70,"question":74,"source":30,"type":31},[],160035919,[71,72,73,28],"参数数量巨大","训练数据量很大","主要使用了 Transformer 架构","大语言模型 LLM 的主要特征是? ( )",{"answer":76,"createTime":5,"id":77,"options":78,"question":80,"source":30,"type":31},[],160035920,[44,46,79,45],"Transformer 网络","GPT 系列模型采用的架构是? ( )",{"answer":82,"createTime":5,"id":6,"options":83,"question":19,"source":30,"type":31},[],[8,9,10,11]]