[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fyR3d5UxFgd78epd4vtyXr2vC3u7fOqVVoeyqfysn_yk":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":13,"question":17,"related":18,"source":28,"type":29},[],"2026-04-04 09:53:43",334332700,[8,9,10,11,12],"能够生成更长、更流畅的回答文本","能够理解用户输入的图片信息","能够进行多语言翻译","能够记住最近三轮的对话历史","**具备了自主规划、调用工具和执行复杂任务的能力**,从一个"被动应答者"进化为一个"主动执行者"",{"courseId":14,"courseImg":15,"courseName":16},"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","相较于传统的"问答式"聊天机器人(Chatbot),本章所学的智能体(Agent)最核心的能力跃迁体现在哪里?( )",[19,30,40,49,59,68,77,86,95,104],{"answer":20,"createTime":5,"id":21,"options":22,"question":27,"source":28,"type":29},[],334332691,[23,24,25,26],"基于模板的方式","基于工作流的方式","基于页面编排的方式","基于规则的方式","以下哪种构建方式更适用于需要复杂任务分解和条件判断的智能体开发","v1",0,{"answer":31,"createTime":5,"id":32,"options":33,"question":39,"source":28,"type":29},[],334332692,[34,35,36,37,38],""有效沟通"原则,简单的重复并不能增加信息量,反而可能导致模型困惑.有效的做法是增加上下文、细节或示例,而非机械复述",""清晰具体"原则,因为他的指令很清晰",""充分详尽"原则,因为他没有提供报告内容",""设置角色"技巧,因为他没有赋予AI角色",""思维链"技巧,因为他没有让AI分步思考","一位用户为了让AI更好地理解他的意图,将他的提示词"请总结这份报告"重复了十遍写在输入框里.这种做法违背了提示词工程的哪个原则,属于常见误区?( )",{"answer":41,"createTime":5,"id":42,"options":43,"question":48,"source":28,"type":29},[],334332693,[44,45,46,47],"图像生成","音频生成","文本生成","视频生成","2014年提出的生成对抗网络(GAN)主要用于什么?( )",{"answer":50,"createTime":5,"id":51,"options":52,"question":58,"source":28,"type":29},[],334332694,[53,54,55,56,57],"需求分析 -> 删除上下文 -> 提示词编写","需求分析 -> 任务拆解 -> 提示词编写(应用角色、思维链、格式指令等技巧)-> 持续调优","任务拆解 -> 随机尝试 -> 持续调优","提示词编写 -> 增加负向提示 -> 提交运行","需求分析 -> 切换模型 -> 增加示例","一位业务分析师在使用AI分析销售数据时,经历了从V1到V4的提示词迭代:V1: "分析这份报告"V4: "你是一位资深市场分析师.请遵循以下步骤:1.提取… 2.对比… 3.分析… 以Markdown表格形式呈现."这个从V1到V4的迭代过程,完美体现了提示词工程创作流程中的哪些核心步骤与技巧?( )",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":28,"type":29},[],334332695,[63,64,65,66],"手动修改报告数据","更换另一种AIGC工具重新生成","检查输入数据的完整性和格式","删除异常数据点","发现AIGC生成的成绩分布与实际情况不符,首先应:( )",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":28,"type":29},[],334332696,[72,73,74,75],"微服务架构","大模型训练","API接口标准化","内容生成引擎","下列哪个技术不属于AIGC赋能MaaS架构的关键组成部分",{"answer":78,"createTime":5,"id":79,"options":80,"question":85,"source":28,"type":29},[],334332697,[81,82,83,84],"画动物","画一张猫的图片","画任意场景","画一只坐在窗边的橘色猫,阳光洒在毛茸茸的尾巴上,窗外是蓝天白云,风格写实,细节丰富","在生成图像时,以下哪一项提示词更可能获得高质量的图像?( )",{"answer":87,"createTime":5,"id":88,"options":89,"question":94,"source":28,"type":29},[],334332698,[90,91,92,93],"模型的预测准确率超过90%","模型可以被部署在任何环境中","模型可以运行在移动设备上","模型输出结果可以追溯到输入数据","根据可信AI的七项关键要求,以下哪个选项最能体现模型的透明性",{"answer":96,"createTime":5,"id":97,"options":98,"question":103,"source":28,"type":29},[],334332699,[99,100,101,102],"仅视频生视频","仅图生视频","文生视频、图生视频、视频生视频","仅文生视频","视频生成技术主要依据输入数据类型可划分为哪几种方式?( )",{"answer":105,"createTime":5,"id":6,"options":106,"question":17,"source":28,"type":29},[],[8,9,10,11,12]]