跟讀練習: Learn to build effective Agentic AI systems with Andrew Ng - 通過影片學習英語口語

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28 句

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Building effective agentic AI systems is one of the most valuable skills in AI today.

In this course, I share best practices for doing so

and you come away with a systematic understanding of how to build agentic systems.

I come with the term agentic AI to describe a growing category of AI projects,

not realizing that marketers would get a hold of that term and slap us a sticker on everything in sight.

Even though the hype on agentic AI has grown really rapidly, the reality of agentic systems being created and deployed has grown rapidly as well.

Unlike a single LM call that just directly generates a response, agentic AI systems can execute multiple LM -driven steps.

These steps can use tools, they can reason, they can iterate over the work to complete complex tasks.

In this course, you learn how to build agentic workflows using raw

Python without hiding all the steps in some framework so that you see how each step actually works.

You learn to take a complex application

and decompose it into a sequence of tasks that you can then implement as an agentic workflow.

You also learn how to implement the four key design patterns for agentic workflows.

Having worked on many agentic systems with many teams, I found

that the single biggest predictor for whether the team executes well lies in its ability to drive a disciplined error analysis process.

That is, to put in place evaluations or evals so that given a complex agentic workflow,

you can efficiently hone in on what components to focus attention on improving.

This way, you aren't just guessing how to spend time productively.

You let the eval's data guide you.

In this course, I'll also show you how to drive this process

and this will put you significantly ahead of the game compared to the vast majority of teams building agentic workflows today.

This course is taught in a vendor -neutral way in raw python

and the emphasis is on teaching you the core concepts

that you can then implement using any of the popular agentic AI development frameworks or using mail frameworks.

This long form course is currently available only on the deeplearning .ai website.

I hope you sign up for this course and when you've completed it, you know how to build agentic AI systems

which is one of the most in -demand skills on the job market today

and that will also let you build a lot of cool applications.

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流利口語所需的一切

AI 發音評分逐句打分

音標練習掌握每個音

詞彙學習建立你的詞庫

詞彙遊戲邊玩邊學

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FOR YOU

本課的詞彙與口語要點

這節口語課以影片“Learn to build effective Agentic AI systems with Andrew Ng”為素材。影片中反覆出現的詞有：agentic, systems, workflow, build, step。這段影片共有 28 個句子、418 個單詞可供跟讀。講話部分時長為 2:28。說話人語速自然，每分鐘約 170 個詞，接近日常對話。只有 78% 的單詞屬於英語最常用的 3,000 詞，詞彙難度較高。

影片中的重點詞彙

影片中 15 個值得學習的單詞，附發音和釋義：

單詞	發音	釋義
framework 名詞	/ˈfɹeɪm.wɜːk/	骨架, 框架
implement 動詞	/ˈɪmpləmənt/	實施 /實施, 執行 /執行
skill 名詞	/skɪl/	技巧, 技能
rapidly 副詞	/ˈɹæpɪdli/	迅速地, 快速地
execute 動詞	/ˈɛksɪˌkjuːt/	處決 /處決, 處死 /處死
vast 形容詞	/væst/	浩大
compare 動詞	/kəmˈpɛɚ/	比, 比較 /比較
sequence 名詞	/ˈsiː.kwəns/	序列, 順序 /順序
component 名詞	/kəmˈpoʊ.nənt/	元件, 部件
neutral 形容詞	/ˈnuː.tɹəl/	中立
discipline 名詞	/ˈdɪsəplɪn/	紀律 /紀律
evaluation 名詞	/ɪˌvæljuˈeɪʃn̩/	評價 /評價
emphasis 名詞	/ˈɛmfəsɪs/	強調 /強調
hype 名詞	/haɪp/	炒作
slap 名詞	/slæp/	拍擊 /拍擊, 耳光

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	has grown · you've completed
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	being created · is taught

需要注意的發音

說話人用了 3 次縮略和弱讀形式，例如 aren't, I'll, you've。請按聽到的簡短形式來說。

長單詞——注意重音位置: evaluation /ɪˌvæljuˈeɪʃn̩/, systematic /ˌsɪs.tɪˈmæt.ɪk/

中文母語者容易讀錯的音：

/v/ — 不要讀成 /w/，上齒輕觸下唇: vast /væst/, evaluation /ɪˌvæljuˈeɪʃn̩/, vendor /ˈvɛn.dɚ/, eval /ˈiː.væl/
詞尾子音 — 要讀清楚，後面不要加母音: framework /ˈfɹeɪm.wɜːk/, implement /ˈɪmpləmənt/, execute /ˈɛksɪˌkjuːt/, vast /væst/, sequence /ˈsiː.kwəns/
/r/ 和 /l/ 的區別: rapidly /ˈɹæpɪdli/, neutral /ˈnuː.tɹəl/

如何用這段影片練習

先完整聽一遍影片，不要開口，記下不認識的單詞。
先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
錄下自己的聲音並與原聲對比，特別注意 framework, implement, skill 這類單詞。

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: Learn to build effective Agentic AI systems with Andrew Ng - 通過影片學習英語口語

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