[{"data":1,"prerenderedAt":46},["ShallowReactive",2],{"q-fintech-21-044":3},{"exam":4,"examName":5,"chapterSlug":6,"question":7,"related":22},"fintech","金融科技力知識檢定","c4",{"id":8,"exam":4,"session":9,"qno":10,"question":11,"options":12,"answer":17,"chapter":18,"freq":19,"explanation":20,"difficulty":21},"fintech-21-044","21",44,"下列何者非屬弱人工智慧之應用案例？",[13,14,15,16],"影像辨識","聲音辨識","Google AlphaGo","百分之百模仿人類的決策",3,"人工智慧",1,"弱人工智慧指專精單一任務的 AI，影像辨識、聲音辨識與專攻圍棋的 AlphaGo 皆屬之，故(A)(B)(C)都是弱 AI 案例。(D)百分之百模仿人類決策等於具備通用思考能力，屬強人工智慧的範疇，目前尚未實現，故為正解。","easy",[23,27,31,35,39,43],{"id":24,"question":25,"qno":26},"fintech-19-006","1980 年代人工智慧發展出的專家系統(Expert System)把取自專家的資訊彙編成一組規則，這些規則往往以「若...則...」結構呈現，稱為下列何種規則？",6,{"id":28,"question":29,"qno":30},"fintech-19-007","下列何種技術可以讓電腦模仿人類大腦的運算，讓電腦像人一樣思考？",7,{"id":32,"question":33,"qno":34},"fintech-19-008","有關機器學習訓練與預測的敘述，下列何者錯誤？",8,{"id":36,"question":37,"qno":38},"fintech-19-036","下列何種機器學習是所有資料都沒有標註，機器透過尋找資料的特徵，自己進行分類？",36,{"id":40,"question":41,"qno":42},"fintech-19-040","人工智慧使用運算晶片如 GPU，未來運用在特定人工智慧特定應用領域的專用晶片，稱為下列何者？",40,{"id":44,"question":45,"qno":10},"fintech-19-044","有關 2023 年推出新一代的語言模型 GPT-4 屬性之敘述，下列何者正確？",1783313309016]