跟读练习: W1 1 Introduction to generative AI - 通过YouTube学习英语口语
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Welcome to Generative AI for Everyone.
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Welcome to Generative AI for Everyone.
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Since the release of Chaggbt, AI, specifically Generative AI, has caught the attention of many individuals, corporations, and governments.
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It is a very disruptive technology that's already changing how many people learn and work.
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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.
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But there could be downsides as well, such as job loss or worse that some people worry about.
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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.
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Because Genitive AI is so new, there is still a lot of misinformation out there.
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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.
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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.
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So with that, let's dive in.
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Gen2.ai had caught the mainstream attention starting around November 2022 when OpenAI released ChaiQPT and its momentum has continued unabated.
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According to McKinsey, it could add 2.6 to 4.4 trillion US dollars annually to the economy.
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Goldman Sachs estimates it could raise global GDP by 7% in the next decade.
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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.
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The same study also estimates that there is a 20% of workers whose work or tasks is more than 50% impacted by generative AI.
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And so studies like these lead to hopes for tremendous productivity gain as well as worries about job loss through automation.
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What is generative AI?
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This term refers to AI or artificial intelligence systems that can produce high quality content, specifically text, images, and audio.
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One of the best known generative AI or Gen AI systems is OpenAI's ChatGPT,
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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.
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And many users are familiar with websites or direct-to-consumer applications that can generate text like this.
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Other examples include BOD, which is offered by Google, as well as Bing Chat, offered by Microsoft.
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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.
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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.
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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.
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Every time you do a web search on Google or Bing, that's AI.
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Every time you use your credit card, there's probably an AI checking if it really is you using your credit card.
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Or every time you go to a website like Amazon or Netflix and it recommends products or movies to you, that's AI.
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But many AI systems have been complex and expensive to build.
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And Genes of AI is making many AI applications much easier to build.
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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.
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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.
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And you learn best practices for identifying and exploring whether or not such applications might be useful for a given business.
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I've described Genesive AI as generating text, images, and audio.
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And of these these types of contents, the biggest impact so far has been on text generation.
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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.
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Genetive AI can also generate audio.
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For example, here is a voice clone of me.
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Hi, I'm an AI generated voice clone of Andrew.
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Andrew never actually said these words.
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Isn't that cool?
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And you can also put audio together with image or even video generation to create a video clone of me like this.
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Hi, I'm a video clone of Andrew.
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It's nice to meet you.
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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.
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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.
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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.
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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.
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And we'll take a deeper dive into the range of technology options for building a variety of valuable projects.
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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.
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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.
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I'm excited to dive into this material with you.
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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.
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I'll see you in the next video.
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为什么要用这个视频练习口语？
本视频介绍了生成性人工智能的基础知识，为英语学习者提供了一个独特的口语练习环境。通过模仿视频中的讲解者，您将能够提升自己的英语口语表达能力。在学习过程中，您不仅可以熟悉生成性人工智能的相关术语和概念，还能有效提高英语发音和流利度。这种实践方式，我们称之为英语影子跟读，可以使您在真实语境中运用所学知识，帮助您在日常交流中更加自信。
语法与表达在语境中的运用
在视频中，讲解者使用了多种语法结构和表达方式，这对英语学习者了解如何在实际使用中运用语言非常有帮助。以下是几个关键结构：
- 作为引导语的使用：例如，“In this course, you learn…” 这一结构常用于介绍课程内容，是一种清晰的引导方式。
- 条件句：“If you can use this technology…” 用于描绘可能的情境和结果，帮助学习者理解条件句的实际应用。
- 被动语态：讲解中提到的“is offered by” 使学习者意识到在何种情况下采用被动语态更为合适，特别是在强调动作的接受者时。
常见发音陷阱
视频中的一些词汇和短语可能会令学习者在发音时遭遇困难。例如，“generative AI”中的“generative”发音可能会对某些学习者造成挑战，因为连音和重音的运用不易掌握。此外，讲解者在表达时的语调变化和重音位置也为英语影子跟读提供了很好的练习素材。建议学习者在跟读时，注意模仿讲解者的语调和节奏，以帮助提高自己的英语发音。
总之，借助视频内容进行英语口语练习，不仅能够提升您的英语能力，还能让您在现代科技背景下，更好地理解和应用语言，助力您的职业发展和个人成长。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。