[{"data":1,"prerenderedAt":46},["ShallowReactive",2],{"q-fintech-20-006":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-20-006","20",6,"隨著自然語言處理的發展，為了進一步解讀人類的情感和思考，進而更有效率地處理問題，機器可以根據人類的什麼東西進行解讀？",[13,14,15,16],"臉型中的眼神、眨眼或說話","肢體中的扭腰、擺臀或跳躍","手語中的手勢、力度或動作","語言中的語音、語意或語法",3,"人工智慧",1,"自然語言處理(NLP)顧名思義是讓機器理解人類「語言」,透過語音辨識、語意分析與語法解析來解讀情感與思考,例如客服機器人判讀客訴情緒,故選 (D)。(A) 眼神屬影像辨識、(B) 肢體動作屬動作感測、(C) 手勢屬手勢辨識,都不是自然語言處理的範疇。","easy",[23,26,30,34,38,42],{"id":24,"question":25,"qno":10},"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？",{"id":27,"question":28,"qno":29},"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":31,"question":32,"qno":33},"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":35,"question":36,"qno":37},"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":39,"question":40,"qno":41},"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":43,"question":44,"qno":45},"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？",44,1783326486370]