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(4) Which of the following statements are correct?以下哪些句子是正確的?Chatbot using GPT technology generates text that is similar to the training data. 運用GPT技術建立的聊天機器人,其生成的文本內容與訓練資料相似。GPT is trained on a large body of text from a variety of sources, for example, information from web pages, Wikipedia, and online books.GPT是以大量來自各種來源的文本進行訓練的, 例如網頁資訊、維基百科資料和網上書籍。GPT will generate the same answers for the same prompt.GPT對應相同的提問會產生相同的答案。When you use information in Chinese to build a chatbot using GPT, it can only provide answers in Chinese.若你運用GPT建立聊天機器人時,只向機器人提供中文資訊,聊天機器人只會用中文回應。1,21,2,42,3All of the above 以上皆是

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(4) Which of the following statements are correct?以下哪些句子是正確的?Chatbot using GPT technology generates text that is similar to the training data. 運用GPT技術建立的聊天機器人,其生成的文本內容與訓練資料相似。GPT is trained on a large body of text from a variety of sources, for example, information from web pages, Wikipedia, and online books.GPT是以大量來自各種來源的文本進行訓練的, 例如網頁資訊、維基百科資料和網上書籍。GPT will generate the same answers for the same prompt.GPT對應相同的提問會產生相同的答案。When you use information in Chinese to build a chatbot using GPT, it can only provide answers in Chinese.若你運用GPT建立聊天機器人時,只向機器人提供中文資訊,聊天機器人只會用中文回應。1,21,2,42,3All of the above 以上皆是

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Which of the following statements about computer vision application is correct?以下哪個關於電腦視覺應用的說法是正確的?For classification, sometimes we ask the computer to give the object of interest more than one label. 進行分類的時候,有時我們會要求電腦為相關的物品標注上多個標籤。For detection, the computer will need to inform us what has been detected, its location and size. 進行偵測的時候,電腦要告訴我們偵測到的內容、其位置及大小。For classification, sometimes we ask the computer to indicate how likely the object of interest is to fall into a certain category with probability. 進行分類的時候,有時我們會要求電腦利用機會率來表示相關的物品有多大可能是屬於某個類別。All of the above options 以上選項皆是

(6) Which of the following is true?以下哪一個説法正確?The inferred results generated by Machine Learning are always correct.機器學習推斷出的結果總是正確的。The inferred results generated by Machine Learning are usually accompanied with probabilities, which indicate the confidence of the inference.機器學習除了提供推斷結果之外,通常還會附上該推斷結果發生的機率。這個機率表示對該推斷結果的信心。Machine Leaning is able to infer an absolutely correct result in some situations, while in some other situations, it can only provide probabilities of different possible options.機器學習在某些情況下能夠作出絕對正確的推斷,某些情況卻只能計算不同選項的機率。Machine Learning is not able to make inference and provide probabilities of different possible options.機器學習既無法作出推斷,也無法給出不同可能選項的機率。

请给下面的汉语句子选择正确的英语译文:‘这些题, 没有一个不是课内学习的。’ A.  Of these questions, all are what we have learned in class.B.  Of these questions, every one is what we have learned in class.C.  Of these questions, not any is what we have learned in class.

a) What was the most important thing you learned during this module?a) 在本模块中,您学到的最重要的东西是什么?b) How has this module changed your knowledge of academic writing?b) 这个模块如何改变了你的学术写作知识?c) What will you do differently as a writer after completing this module?

语文应用 B组 画线的词语是运用不当的词语(词语中的其中一个字是不恰当的);括号里的字是写错的字。根据短文的内容和上下文的意思,把它们改正过来,然后把答案填写在格子里。(注:请输入华文字)  有个渔夫很会养鱼。可是,他的年Q11. (记)大了,需要有个接班人。  一天,渔夫对两个儿子说:“你们谁能完成我出的题目,我就选谁当接班人。”两个儿子异口同声地问:“什么题目?”渔夫说:“这个题目很Q12. 简便。我们家那两个养鱼的大水池,现在只有四分之一的水。你们趁着空余时间,分别将水池装满水。两个月后,我来验收成果。”两个儿子都接受了。  大儿子性子急,每天争分夺Q13. (妙)地挑水。不到十天,他就将水池装满水了。小儿子却不一样,他仔细Q14. 观看了水池,想了想,决定每天只挑四桶水。  两个月的时间到了。渔夫看了两个水池的情况后,决定让小儿子当接班人。原来,渔夫在两个水池里分别放了一些鱼。由于大儿子过于心急,很快就将水池装满水,却没有更换水池里的水,结果鱼因为长时间没有得到流动的水,已经鱼肚朝上,停Q15.(上)了呼吸。小儿子每天挑水,每天给水池加入新鲜的水,鱼也因此越长越肥。Q11.Q12.Q13.Q14.Q15.

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