쉐도잉 연습: W1 1 Introduction to generative AI - YouTube로 영어 말하기 배우기

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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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