[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fMSi2of0RoG7WVf0exCNlJFq63_b8U5Erx_CqhnhQ73A":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":13,"question":17,"related":18,"source":27,"type":38},[],"2025-04-28 08:42:59",1069534913,[8,9,10,11,12],"提高模型在特定任务上的性能","降低模型的计算复杂度","使模型更好地理解特定领域的知识","增加模型的通用性,以适应更多不同的任务","减少模型的训练时间",{"courseId":14,"workId":15,"workName":16},"1000128449","61792908","第十三章单元测试","微调大语言模型的目的主要包括哪些方面?( )",[19,29,39,48,58,63,72,75],{"answer":20,"createTime":21,"id":22,"options":23,"question":26,"source":27,"type":28},[],"2025-04-28 08:42:58",1069534893,[24,25],"对","错","扩散模型的前向过程是在原始图像经过不断加入噪声生成模糊图像.( )","v2",3,{"answer":30,"createTime":21,"id":31,"options":32,"question":37,"source":27,"type":38},[],1069534894,[33,34,35,36],"将现实世界的实体编码为计算机算法可运算的数据格式","实现文本与图像的匹配","生成高质量的图像","通过训练获得文本编码器和图像编码器的最优参数","CLIP模型的作用和目标有哪些?( )",1,{"answer":40,"createTime":21,"id":41,"options":42,"question":47,"source":27,"type":38},[],1069534899,[43,44,45,46],"它们已经具备了所有专业知识","它们经常会出现答非所问的情况","它们主要是在公开的语料库中训练,缺乏专业知识训练","它们不需要进行微调就能完美适应各种应用场景","关于预训练大语言模型,以下说法正确的是?( )",{"answer":49,"createTime":21,"id":50,"options":51,"question":56,"source":27,"type":57},[],1069534907,[52,53,54,55],"MLLM仅能处理文本信息,无法整合图像等其他模态","MLLM通过整合文本、图像等多种模态信息,可以提供更加全面和丰富的理解和生成能力","MLLM的主要优势在于处理大规模文本数据,与传统文本模型无明显差异","MLLM在处理信息时只关注单一模态,忽视了其他模态的影响","多模态大语言模型(MLLM)具有整合多种模态信息的能力.以下哪项最能准确描述MLLM的优势?( )",0,{"answer":59,"createTime":21,"id":60,"options":61,"question":62,"source":27,"type":28},[],1069534909,[24,25],"大语言模型微调只是在预训练模型基础上进行的简单复制,不涉及迁移学习.( )",{"answer":64,"createTime":5,"id":65,"options":66,"question":71,"source":27,"type":38},[],1069534911,[67,68,69,70],"将大语言模型部署在云端服务器上","将大语言模型部署在本地的个人电脑上","积累足够多的个人数据集","重新设计一个全新的语言模型","要发挥私人AI助手的优势,必须满足哪些条件?( )",{"answer":73,"createTime":5,"id":6,"options":74,"question":17,"source":27,"type":38},[],[8,9,10,11,12],{"answer":76,"createTime":5,"id":77,"options":78,"question":83,"source":27,"type":57},[],1069534915,[79,80,81,82],"类似人类的耳朵,接收和预处理声学信号","类似人类的大脑,进行理解和推理","类似人类的眼睛,接收和预处理光学信号","类似生成器,输出除文本之外的其他模态","图像和视频编码器在多模态大型语言模型(MLLM)中的作用是什么?( )"]