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    影片分級

    • A1 初級
    • A2 初級
    • B1 中級
    • B2 中高級
    • C1 高級
    • C2 高級

    隱私權˙條款˙
    ©2026 VoiceTube Corporation. All rights reserved

    generalize

    US /ˈdʒɛnərəˌlaɪz/

    ・

    UK /'dʒenrəlaɪz/

    B2 中高級英檢高級
    v.t./i.動詞 (及物/不及物)概括化;以偏概全
    Don’t generalize too much or we’ll lose the details

    影片字幕

    0.3 資料結構與演算法:選擇排序法 (0.3 Data Structures & Algorithms: Selection Sort)

    07:050.3 資料結構與演算法:選擇排序法 (0.3 Data Structures & Algorithms: Selection Sort)
    • Okay, anyway, so the basic idea is that we can even do this sorting process with other types of data, not just with integers, so it does generalize.

      好了,不管怎麼說,我們的基本想法是,我們甚至可以對其他類型的數據進行排序,而不僅僅是整數,所以它確實具有通用性。

    • So it does generalize.
    B1 中級

    意外懷孕 (1/10) 電影片段 - 電視臺職位 (2007) HD : 學習英文 (Knocked Up (1/10) Movie CLIP - An On-Air Position (2007) HD : Learn English)

    02:18意外懷孕 (1/10) 電影片段 - 電視臺職位 (2007) HD : 學習英文 (Knocked Up (1/10) Movie CLIP - An On-Air Position (2007) HD : Learn English)
    • Don't make everything smaller. l don't want to generalize that way.

      不要把所有的事情都做小了 我不想以偏概全。

    • I don't want to generalize that way.
    A2 初級

    生成式AI入門教學! (Introduction to Generative AI)

    22:08生成式AI入門教學! (Introduction to Generative AI)
    • The labeled data helps the neural network to learn the basic concepts of the task, while the unlabeled data helps the neural network to generalize to new examples.

      有標籤的數據有助於神經網絡學習任務的基本概念,而無標籤的數據則有助於神經網絡泛化到新的示例。

    • The labeled data helps the neural network to learn the basic concepts of the task, while the unlabeled data helps the neural network to generalize to new examples.

      深度學習模型或一般的機器學習模型可分為兩種類型:生成型和判別型。

    B1 中級

    黃宣和郭艾倫談 AI 的下一步 | Mercury Spheres (Sonya Huang and Sarah Guo on what's next in AI | Mercury Spheres)

    39:21黃宣和郭艾倫談 AI 的下一步 | Mercury Spheres (Sonya Huang and Sarah Guo on what's next in AI | Mercury Spheres)
    • This is an extremely mainstream theory in the foundation model labs that improving code reasoning will generalize to other types of reasoning and we should do a lot of it because we can generate and validate code, right?

      這是基礎模型實驗室的一個極為主流的理論,即改進代碼推理將推廣到其他類型的推理,我們應該做大量的推理,因為我們可以生成和驗證代碼,對嗎?

    • This is an extremely mainstream theory in the foundation model labs that improving code reasoning will generalize to other types of reasoning.

      好了,誰能拿到面前的麥克風,誰就能回答最後一個問題。

    B1 中級

    美國人分享在新加坡32年的經歷! (Ex-American about his 32 years in Singapore)

    18:30美國人分享在新加坡32年的經歷! (Ex-American about his 32 years in Singapore)
    • Like, I generalize, but let's say if you compare Asians to Westerners.

      有一位女士和我進行了談話,談話結束後,她看著我,說祝你好運。

    • I generalize, but let's say if you compare Asians to Westerners, was it difficult for you to get used to this kind of like how people interact with each other, like more in a shy way?

      我是以偏概全,但比方說,如果把亞洲人和西方人相比,你是否很難適應這種人與人之間的互動方式,比如更多的是害羞的方式?

    A2 初級

    AI 偏見無所遁形?如何徹底根除!| Runway (Bias in AI and How to Fix It | Runway)

    04:13AI 偏見無所遁形?如何徹底根除!| Runway (Bias in AI and How to Fix It | Runway)
    • Even with a very small subset of data, the model can learn to generalize from it.

      即使只有很小的數據子集,模型也能從中學習歸納。

    • Even with a very small subset of data, the model can learn to generalize from it.

      這就是多樣性微調的目的所在。

    B1 中級

    思想史:儀式! (HISTORY OF IDEAS - Rituals)

    13:12思想史:儀式! (HISTORY OF IDEAS -  Rituals)
    • To generalize - when societies become modern, rituals drop out of the calendar and the main focus starts to be private and work life, and

      概括地說,當社會變得現代化時,儀式就會從日曆中消失,人們開始關注私人生活和工作,而很少關注兩者之間的關係。

    B2 中高級

    帶你回顧 2024 年電腦科學領域的重大突破 (2024's Biggest Breakthroughs in Computer Science)

    10:47帶你回顧 2024 年電腦科學領域的重大突破 (2024's Biggest Breakthroughs in Computer Science)
    • The researchers developed a test called SkillMix to evaluate if large language models can generalize to combinations of skills they likely hadn't seen before.

      研究人員開發了一個名為 "SkillMix "的測試,以評估大型語言模型是否能歸納出他們以前可能從未見過的技能組合。

    • The researchers developed a test called Skill Mix to evaluate if large language models can generalize to combinations of skills they likely hadn't seen before.

      是以,我們會給模型一個技能列表和一個主題,然後讓它使用該技能列表就該主題創作一篇文章。

    B1 中級

    別再做口腔運動了!發音要好,力量不是重點,練習「跟讀」才是關鍵(STOP Doing Mouth Exercises: Why Strength Isn't the Problem | Try Shadowing Instead)

    06:18別再做口腔運動了!發音要好,力量不是重點,練習「跟讀」才是關鍵(STOP Doing Mouth Exercises: Why Strength Isn't the Problem | Try Shadowing Instead)
    • and your brain will generalize those skills more quickly.

      重點是在單字中使用這些發音,而不是建立口腔肌肉的力量。

    • and you will more easily generalize those words, those things that you say all of the time,

      而且你在那種語言中運用口腔表現得很完美。

    A2 初級

    童年創傷如何扭曲你的人生觀? (How Childhood Trauma Distort Your Perception on Life)

    04:46童年創傷如何扭曲你的人生觀? (How Childhood Trauma Distort Your Perception on Life)
    • They often generalize their traumatic experience into a generalized negative expectation of the world, which makes it more difficult for them to see the positive side of things or trust that good things will happen.

      第一,它使你更加悲觀。

    • They often generalize their traumatic experience into a generalized negative expectation of the world, which makes it more difficult for them to see the positive side of things or trust that good things will happen.

      他們常常把自己的創傷經歷概括為對整個世界的負面期望,這使得他們更難正面看待事情,或相信好事會發生。

    B2 中高級