[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fb6EKmH_FczGD5gxFrIFLptK436dts3OLEL6XoZtdX6o":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":14,"related":15,"source":21,"type":22},[],"2025-05-07 12:12:39",1069534936,[8,9],"对","错",{"courseId":11,"workId":12,"workName":13},"1000128449","61792891","第十一章单元测试","自注意力机制通过计算每个Token与其他Token之间的相关性来分配权重,因此它可以有效地增强上下文语义理解.根据这一描述,自注意力机制的权重分配方式是完全基于Token的顺序而不考虑其他信息的影响.( )",[16,23,26,36,46,55,64,74],{"answer":17,"createTime":5,"id":18,"options":19,"question":20,"source":21,"type":22},[],1069534934,[8,9],"Transformer结构由编码器和解码器组成,其中编码器用于处理输入数据,解码器用于生成输出数据.多头注意力机制是Transformer的重要组成部分,可以并行处理信息.( )","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},[],1069534938,[30,31,32,33],"基于规则的模型","统计语言模型","神经网络模型","语义分析模型","&quot;熟读唐诗三百首,不会作诗也会吟&quot;这句话所体现的是哪种语言模型的思想?( )",0,{"answer":37,"createTime":5,"id":38,"options":39,"question":44,"source":21,"type":45},[],1069534940,[40,41,42,43],"曼哈顿距离","欧几里得距离","余弦相似度","Jaccard相似系数","词向量表示文本后,哪些方法可以用来计算文本相似度?( )",1,{"answer":47,"createTime":5,"id":48,"options":49,"question":54,"source":21,"type":35},[],1069534949,[50,51,52,53],"K","V","Q","X","在自注意力机制中,以下哪一项是自注意力机制中用于表示查询的组件?( )",{"answer":56,"createTime":5,"id":57,"options":58,"question":63,"source":21,"type":35},[],1069534951,[59,60,61,62],"BERT只有编码器没有解码器","GPT既有编码器又有解码器","T5只有解码器没有编码器","GPT只有编码器没有解码器","在自然语言处理领域中,BERT、GPT与T5模型各有其特点与应用场景.以下关于这三种模型的描述中,哪一项是正确的?( )",{"answer":65,"createTime":5,"id":66,"options":67,"question":73,"source":21,"type":45},[],1069534959,[68,69,70,71,72],"分词","词向量","文本相似度","图像识别","音频处理","以下哪些技术属于自然语言处理中的基本技术和概念?( )",{"answer":75,"createTime":5,"id":76,"options":77,"question":82,"source":21,"type":45},[],1069534963,[78,79,80,81,71],"语音识别","文本分析理解","文本转换","文本生成","以下哪些选项是自然语言处理NLP的主要任务?( )"]