[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fWiAYTpyNNZ0J3kM-cfktB0uZlAGLTcGHhEdZxPDWHtg":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":17,"related":18,"source":29,"type":30},[],"2025-06-05 19:59:23",194915958,[8,9],"正确","错误",{"count":11,"courseId":12,"courseImg":13,"courseName":14,"workId":15,"workName":16},201,"0c398516fb321c49a713872d2660d274","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F5865f7bbb6ac03f4df94010d0b50a871.jpg","AI通识教育","work_44074788","期末理论自测(考前)","AI生成图像时,迭代次数越多,图片质量一定越高",[19,31,36,45,50,59,62,71,80,89],{"answer":20,"createTime":21,"id":22,"options":23,"question":28,"source":29,"type":30},[],"2025-06-05 19:59:22",194915953,[24,25,26,27],"Artificial Intelligence General Content","Artificial Intelligence Generated Content","Automatic Intelligence Generated Content","Artificial Interactive Generated Content","AIGC的全称是什么","v1",0,{"answer":32,"createTime":5,"id":33,"options":34,"question":35,"source":29,"type":30},[],194915954,[8,9],"AIGC完全不需要人工干预即可生成内容",{"answer":37,"createTime":5,"id":38,"options":39,"question":44,"source":29,"type":30},[],194915955,[40,41,42,43],"维基百科","社交媒体短句","GitHub开源代码","学术期刊论文","AIGC大模型的训练数据集主要来源不包括以下哪项",{"answer":46,"createTime":5,"id":47,"options":48,"question":49,"source":29,"type":30},[],194915956,[8,9],"生成式对抗网络(GAN)中,判别器的任务是识别生成器生成的虚假内容",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":29,"type":30},[],194915957,[54,55,56,57],"使用模糊的语言描述需求","要求AI扮演专业角色(如&quot;资深记者&quot;)","避免结构化表达(如分点说明)","仅提供单一关键词","在使用AIGC工具生成新闻稿时,以下哪项是优化提示词的关键技巧",{"answer":60,"createTime":5,"id":6,"options":61,"question":17,"source":29,"type":30},[],[8,9],{"answer":63,"createTime":5,"id":64,"options":65,"question":70,"source":29,"type":30},[],194915959,[66,67,68,69],"新闻写作","代码编写","天气预报","对话系统","以下哪个不是AIGC在文本生成中的应用场景",{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":29,"type":30},[],194915960,[75,76,77,78],"专注逻辑问题解决","依赖海量标注数据","高成本训练","优化上下文理解","以下哪一项是DeepSeek的特点",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":29,"type":30},[],194915961,[84,85,86,87],"物流配送时间","员工招聘流程","产品生产速度","负面舆情处理","DeepSeek的NLP情感分析技术可以帮助企业提升哪方面的效率",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":29,"type":30},[],194915962,[93,94,95,96],"文本生成与润色","多轮对话与思维扩展","物理机器人控制","代码生成与优化","DeepSeek的核心功能不包括以下哪一项"]