[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fcy8o8SboJG_h4xGCrStU-8Gpyxyo7SQQUbipbNCpWo4":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":27,"type":32},[],"2025-11-04 13:39:42",1081497064,[8,9,10,11],"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",{"courseId":13,"workId":14,"workName":15},"1000130577","63097521","第二章单元测试","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",[18,29,33,42,51,60,68,78,87,96],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],1081497062,[22,23,24,25],"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":30,"createTime":5,"id":6,"options":31,"question":16,"source":27,"type":32},[],[8,9,10,11],0,{"answer":34,"createTime":5,"id":35,"options":36,"question":41,"source":27,"type":32},[],1081497066,[37,38,39,40],"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":43,"createTime":5,"id":44,"options":45,"question":50,"source":27,"type":32},[],1081497068,[46,47,48,49],"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":52,"createTime":5,"id":53,"options":54,"question":59,"source":27,"type":32},[],1081497070,[55,56,57,58],"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":61,"createTime":5,"id":62,"options":63,"question":66,"source":27,"type":67},[],1081497071,[64,65],"正确","错误","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":69,"createTime":5,"id":70,"options":71,"question":77,"source":27,"type":28},[],1081497072,[72,73,74,75,76],"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→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→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":79,"createTime":5,"id":80,"options":81,"question":86,"source":27,"type":32},[],1081497073,[82,83,84,85],"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":88,"createTime":5,"id":89,"options":90,"question":95,"source":27,"type":32},[],1081497074,[91,92,93,94],"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":97,"createTime":5,"id":98,"options":99,"question":100,"source":27,"type":67},[],1081497075,[64,65],"最小可行产品(MVP)是一种非常复杂、功能完善的产品"]