シャドーイング練習: W1 1 Introduction to generative AI - YouTubeで英語スピーキングを学ぶ
C1
シャドーイング コントロール
0% 完了 (0/54 文)
Welcome to Generative AI for Everyone.
⏸ 一時停止中
再生速度:
リピート回数:
待機モード:
字幕同期:0ms
すべての文54 文
1
Welcome to Generative AI for Everyone.
2
Since the release of Chaggbt, AI, specifically Generative AI, has caught the attention of many individuals, corporations, and governments.
3
It is a very disruptive technology that's already changing how many people learn and work.
4
Many developers think that Genative AI will empower many people and lead to productivity gains gains and also make a significant contribution to global economic growth.
5
But there could be downsides as well, such as job loss or worse that some people worry about.
6
In this course, you learn what Genitive AI is, what it can and cannot do, and also how to use it in your own work or business.
7
Because Genitive AI is so new, there is still a lot of misinformation out there.
8
And so in this course, I hope to convey an accurate non-technical understanding of what it really is and also work with you to think through how you can best make use of this technology.
9
This course does not assume any technical or AI background and is designed to be useful to anyone in business, science, engineering, the humanities, arts, or other sectors.
10
So with that, let's dive in.
11
Gen2.ai had caught the mainstream attention starting around November 2022 when OpenAI released ChaiQPT and its momentum has continued unabated.
12
According to McKinsey, it could add 2.6 to 4.4 trillion US dollars annually to the economy.
13
Goldman Sachs estimates it could raise global GDP by 7% in the next decade.
14
And a study by OpenAI and UPenn estimates that it could impact 10% of the work or tasks carried out daily by over 80% of workers in the United States.
15
The same study also estimates that there is a 20% of workers whose work or tasks is more than 50% impacted by generative AI.
16
And so studies like these lead to hopes for tremendous productivity gain as well as worries about job loss through automation.
17
What is generative AI?
18
This term refers to AI or artificial intelligence systems that can produce high quality content, specifically text, images, and audio.
19
One of the best known generative AI or Gen AI systems is OpenAI's ChatGPT,
20
which can follow instructions to carry out tasks like write three captions for a social media post about our new line of sunglasses for robots and have it generate a variety of creative outputs.
21
And many users are familiar with websites or direct-to-consumer applications that can generate text like this.
22
Other examples include BOD, which is offered by Google, as well as Bing Chat, offered by Microsoft.
23
But there are now many companies that are offering user interfaces that lets you type in some text called a prompt and will generate a response.
24
But beyond these consumer applications, there's one other application of generative AI that I think may turn out to be even more impactful in the long term, which is the use of generative AI as a developer tool.
25
AI is already pervasive in our lives and many of us use it dozens of times a day or more without even thinking about it.
26
Every time you do a web search on Google or Bing, that's AI.
27
Every time you use your credit card, there's probably an AI checking if it really is you using your credit card.
28
Or every time you go to a website like Amazon or Netflix and it recommends products or movies to you, that's AI.
29
But many AI systems have been complex and expensive to build.
30
And Genes of AI is making many AI applications much easier to build.
31
And this means that the number and variety of AI product offerings is blossoming because it's becoming much cheaper to build certain AI applications compared to before.
32
So in this course, one of the themes we'll touch on a few times as well will be how Genesive AI may allow your business to much more inexpensively build very valuable AI applications.
33
And you learn best practices for identifying and exploring whether or not such applications might be useful for a given business.
34
I've described Genesive AI as generating text, images, and audio.
35
And of these these types of contents, the biggest impact so far has been on text generation.
36
But it can also generate images where given instructions, a different type of prompt, it can generate beautiful images like this one or even a photorealistic image like this.
37
Genetive AI can also generate audio.
38
For example, here is a voice clone of me.
39
Hi, I'm an AI generated voice clone of Andrew.
40
Andrew never actually said these words.
41
Isn't that cool?
42
And you can also put audio together with image or even video generation to create a video clone of me like this.
43
Hi, I'm a video clone of Andrew.
44
It's nice to meet you.
45
So there's a lot going on in generative AI, and this is an exciting and disruptive technology that I'm confident you will find useful in your work.
46
In this course, during the first week, we'll go through how generative AI technology actually works and specifically what it can and cannot do.
47
And you also see a variety of common use cases that I hope will help spark your creativity to how you may use it to create value in your life or in your work.
48
In the second week, we'll discuss generative AI projects, specifically how to identify useful generative AI applications, as well as best practices for how to go about building them.
49
And we'll take a deeper dive into the range of technology options for building a variety of valuable projects.
50
In the final week, we will zoom out beyond a single project to look at how generative AI will impact businesses, as well as society at large.
51
We'll look at some best practices for how teams or a company can take advantage of genitive AI and also take a look at AI risks and how to make sure that what we do with AI is responsible and benefits people.
52
I'm excited to dive into this material with you.
53
As of that, let's go on to the next video where we'll go through a non-technical description of how genitive AI technology actually works.
54
I'll see you in the next video.
App StoreとGoogle Playで4.9/5
Shadowing English
モバイル版
Shadowing Englishアプリでいつでもどこでも英語を学びましょう。 今すぐコミュニケーションスキルを向上させましょう！
学習の進捗を追跡する
AIによる採点とエラー修正
豊富な動画ライブラリ
このレッスンについて
このレッスンでは、生成AIに関する基礎知識を学び、特にその実用性やビジネスへの影響について考えます。学生は、生成AIがどのようにテキスト、画像、および音声を生成するかを理解し、具体的な事例を通じて自身の働き方や学び方においてどのように活用できるかを探求します。さらに、YouTubeで英語学習を進める際に有用な発音練習の方法も紹介します。
重要な語彙とフレーズ
- 生成AI (Generative AI)
- プロンプト (Prompt)
- 経済成長 (Economic growth)
- クリエイティブ (Creative)
- 自動化 (Automation)
- ビジネス (Business)
- 音声クローン (Voice clone)
- フォトリアリスティック (Photorealistic)
練習のコツ
このビデオのスピードとトーンに合わせて、shadow speakのテクニックを活用することが推奨されます。具体的には、ビデオを観ながら話す際、話者のスピードに合わせて繰り返すことで、英語の発音を良くすることができます。特に、発声を行う前にフレーズを数回聞き、その後に自分の声で再現してみてください。これは、shadowing siteのステップを実践する素晴らしい方法です。shadowspeakの技術を取り入れて、リズムやイントネーションにも注意を払いながら練習を進めましょう。毎日のルーチンにこの練習を組み込むことで、効果的にスピーキングスキルを向上させることが可能になります。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。