[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fG4CDuioSSIpw86KZKOTRjFzbnKsyFu-R5X0iA2dp4Sw":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":14,"related":15,"source":25,"type":69},[],"2025-11-04 13:39:42",1081497075,[8,9],"正确","错误",{"courseId":11,"workId":12,"workName":13},"1000130577","63097521","第二章单元测试","最小可行产品(MVP)是一种非常复杂、功能完善的产品",[16,27,37,46,55,64,70,80,89,98],{"answer":17,"createTime":5,"id":18,"options":19,"question":24,"source":25,"type":26},[],1081497062,[20,21,22,23],"行为树","AI感知系统","环境查询系统","接入自定义C++插件","以下哪些属于UE中AI NPC的原有功能","v2",1,{"answer":28,"createTime":5,"id":29,"options":30,"question":35,"source":25,"type":36},[],1081497064,[31,32,33,34],"仅对千问2.5进行简单配置,不考虑用户历史数据","先使用大语言模型进行语义理解训练,再结合传感器收集用户实时行为数据,最后通过控制器调整推荐策略","只依靠大语言模型的推理能力,不与其他技术整合","先构建传统程序框架,再将大语言模型嵌入其中,不考虑智能体的自主性","在利用千问2.5搭建智能体时,要使智能体在复杂电商场景中准确理解用户需求并推荐商品,以下哪个步骤组合是最合理的",0,{"answer":38,"createTime":5,"id":39,"options":40,"question":45,"source":25,"type":36},[],1081497066,[41,42,43,44],"20世纪50年代","20世纪70年代","20世纪90年代","21世纪初","以下哪个是智能体(AI Agent)概念首次被提出的时间",{"answer":47,"createTime":5,"id":48,"options":49,"question":54,"source":25,"type":36},[],1081497068,[50,51,52,53],"SnowNLP只能进行文本关键词提取,不能进行情感识别","SnowNLP可以进行文本关键词提取和情感识别,且操作简单方便","SnowNLP进行文本内容识别时,需要大量的手动配置参数","SnowNLP主要用于图像内容识别,而非文本内容识别","以下关于使用SnowNLP进行文本内容识别的说法,正确的是",{"answer":56,"createTime":5,"id":57,"options":58,"question":63,"source":25,"type":36},[],1081497070,[59,60,61,62],"Convai插件","UE蓝图编程","Python Editor Script Plugin","Photoshop软件","在UE中接入大模型API的第三方方式不包括以下哪种",{"answer":65,"createTime":5,"id":66,"options":67,"question":68,"source":25,"type":69},[],1081497071,[8,9],"在Transformer架构中,位置编码是为了让模型能够捕捉到输入序列中词的相对位置信息,在DeepSeek使用其API进行文本生成时,若不考虑Transformer架构中位置编码的影响,也能保证生成文本的语义连贯性和逻辑性与考虑位置编码时一致",3,{"answer":71,"createTime":5,"id":72,"options":73,"question":79,"source":25,"type":26},[],1081497072,[74,75,76,77,78],"3D建模的核心目标是创建出具有三维空间感的虚拟模型,用于各种领域的应用","在3D建模发展历史中,计算机图形学的诞生是一个重要的里程碑,为3D建模提供了技术基础","传统3D建模通常需要建模师具备较高的专业技能和大量的时间投入,而AI参数化生成可以根据输入的参数快速生成模型,效率更高","图像&rarr;3D生成范式主要是利用深度学习网络如CNN等从二维图像中提取特征并重建三维模型,文本&rarr;3D生成范式则是借助Transformer等模型将文本描述转化为3D模型","程序化生成和动态生成这两种范式在原理和应用场景上完全相同,没有本质区别","以下关于3D建模的相关描述,正确的有哪些",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":25,"type":36},[],1081497073,[84,85,86,87],"使用Stable Diffusion模型,基础提示词构建为'神秘氛围的奇幻场景,一条龙',不进行固化、变化和权重分配操作","使用MidJourney模型,基础提示词构建为'神秘氛围的奇幻场景',将'一条龙'作为固化提示词,通过不断变化场景细节提示词并给场景细节提示词分配较高权重,同时适当调整'一条龙'的权重","使用Flux模型,只构建基础提示词'一条龙在神秘的奇幻场景',不考虑固化、变化和权重分配","使用DALL - E 3模型,先构建基础提示词'神秘氛围的奇幻场景',然后随机变化提示词,不进行固化和权重分配","在使用提示词工程生成一幅用于游戏宣传海报的奇幻风格图像时,已知需要突出神秘氛围且主体为一条龙,以下操作最合理的是",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":25,"type":36},[],1081497074,[93,94,95,96],"Cursor","Scratch","Figma","Notion","以下哪个是创意编程发展历程中早期的代表软件",{"answer":99,"createTime":5,"id":6,"options":100,"question":14,"source":25,"type":69},[],[8,9]]