1 00:00:06,250 --> 00:00:09,190 In this lesson, we are going to talk briefly. 2 00:00:09,920 --> 00:00:14,510 About classic programming versus artificial intelligence. 3 00:00:15,320 --> 00:00:20,390 The faces of the science of artificial intelligence in the last years. 4 00:00:21,140 --> 00:00:24,830 The faces of artificial intelligence applications. 5 00:00:25,470 --> 00:00:30,510 Old artificial intelligence versus new artificial intelligence. 6 00:00:30,660 --> 00:00:38,370 And finally we will talk about how important is the new artificial intelligence right now. 7 00:00:44,230 --> 00:00:52,420 Since the launch of ChatGPT, not a single day has passed without artificial intelligence being on the 8 00:00:52,420 --> 00:00:55,570 front pages of all media outlets. 9 00:00:56,350 --> 00:01:05,290 We read in the media, like the Wall Street Journal, about the $900,000 salaries of new artificial 10 00:01:05,290 --> 00:01:06,820 intelligence engineers. 11 00:01:07,210 --> 00:01:13,390 The terrifying reports from Goldman Sachs about the impact of artificial intelligence on employment. 12 00:01:13,600 --> 00:01:20,080 Or about the overwhelming reservations for the first International Artificial Intelligence Engineers 13 00:01:20,080 --> 00:01:22,000 Congress in San Francisco. 14 00:01:23,310 --> 00:01:26,460 But what is artificial intelligence? 15 00:01:27,170 --> 00:01:29,870 If it has been around for so long. 16 00:01:30,050 --> 00:01:35,300 Why is it interesting now and beyond headlines? 17 00:01:35,600 --> 00:01:38,900 What is its real significance? 18 00:01:41,690 --> 00:01:49,670 It is important to understand that at the end of the day, artificial intelligence is a new way of programming. 19 00:01:51,420 --> 00:01:56,730 Classic programming is, in a sense, like a cooking recipe. 20 00:01:58,280 --> 00:02:06,890 A if we want to prepare whatever a paella, for example, we just have to follow a number of steps. 21 00:02:06,890 --> 00:02:07,850 Step one. 22 00:02:07,850 --> 00:02:08,600 Step two. 23 00:02:08,600 --> 00:02:09,680 Step three. 24 00:02:09,710 --> 00:02:12,290 That is more or less classic programming. 25 00:02:14,100 --> 00:02:19,020 Artificial intelligence is a new way of programming. 26 00:02:19,710 --> 00:02:27,900 Instead of giving the computer different steps in order to achieve one result, we give the computer 27 00:02:27,900 --> 00:02:34,560 the result and ask for the process in order to get that result. 28 00:02:34,980 --> 00:02:42,030 So we give the computer the EPA and we ask, okay, now prepare another by yourself. 29 00:02:51,360 --> 00:02:54,660 We have seen a number of faces. 30 00:02:55,690 --> 00:03:01,180 In the artificial intelligence evolution during the last 50 years. 31 00:03:02,310 --> 00:03:05,160 Believe it or not, artificial intelligence is. 32 00:03:05,960 --> 00:03:06,920 Very old. 33 00:03:08,550 --> 00:03:09,030 It. 34 00:03:09,030 --> 00:03:17,910 It started with what we call now machine learning, which is this different way of programming computers. 35 00:03:17,910 --> 00:03:24,270 Instead of step by step, we provide the result and then ask the computer to find the process to get 36 00:03:24,270 --> 00:03:25,230 that result. 37 00:03:27,880 --> 00:03:38,350 That methodology was invented many years ago, but it was 30 years ago with the internet explosion that 38 00:03:38,350 --> 00:03:46,720 suddenly machine learning engineers had millions and millions of data to work with. 39 00:03:47,580 --> 00:03:51,450 So we started talking about big data. 40 00:03:51,450 --> 00:03:59,730 Data science and machine learning started to be started being more and more accurate, more precise. 41 00:03:59,730 --> 00:04:02,940 Because the more data you have, the more precise it's going to be. 42 00:04:02,940 --> 00:04:03,900 Your prediction. 43 00:04:04,640 --> 00:04:15,800 Um, with the new inventions like neural networks and the GPUs, for example, we started to have a 44 00:04:15,800 --> 00:04:22,400 different kind of machine learning with much more data and much more computational power. 45 00:04:22,400 --> 00:04:28,610 And instead of calling it machine learning, we started calling it deep learning. 46 00:04:29,630 --> 00:04:33,530 And it started to prove really powerful. 47 00:04:33,530 --> 00:04:42,050 And we started doing interesting things with images, with, uh, numbers, etc.. 48 00:04:43,070 --> 00:04:51,920 It was just a few years ago when all this promising situation changed in a really important way. 49 00:04:52,220 --> 00:04:55,700 It was with the invention of the Transformers. 50 00:04:55,820 --> 00:04:59,720 Transformers is a methodology that. 51 00:05:01,880 --> 00:05:06,380 Started the generative artificial intelligence movement. 52 00:05:06,410 --> 00:05:09,980 Suddenly, artificial intelligence was a new thing. 53 00:05:10,250 --> 00:05:12,380 We will talk about it very soon. 54 00:05:13,790 --> 00:05:23,990 And with the new Transformers, we immediately started seeing things like GitHub, copilot, ChatGPT, 55 00:05:24,230 --> 00:05:26,300 Midjourney, etc.. 56 00:05:26,970 --> 00:05:37,230 And at this stage we are able to start talking about the new stage of the artificial intelligence. 57 00:05:38,510 --> 00:05:45,620 Movement that we ourselves call the new stage of the artificial intelligence. 58 00:05:45,620 --> 00:05:52,220 You universalization, because artificial intelligence is going to be everywhere. 59 00:05:53,560 --> 00:06:03,700 So let's talk a little bit about the stages in the development of artificial intelligence applications. 60 00:06:05,050 --> 00:06:12,040 Before Transformers before generative artificial intelligence. 61 00:06:12,040 --> 00:06:22,030 Building AI applications in a company require skills from machine learning engineers, software engineers, 62 00:06:22,330 --> 00:06:32,920 product managers, and until now, all these skills were learned in separate programs for different 63 00:06:32,920 --> 00:06:34,030 professionals. 64 00:06:34,300 --> 00:06:38,650 So you wanted to create an artificial intelligence application. 65 00:06:38,650 --> 00:06:42,160 You needed a team of different professionals. 66 00:06:45,180 --> 00:06:54,780 Now integrated programs like the one you are studying are emerging to train the new artificial intelligence 67 00:06:54,780 --> 00:06:55,980 engineers. 68 00:06:57,860 --> 00:07:07,400 So we are going to talk about this huge change before in the old artificial intelligence stage. 69 00:07:07,910 --> 00:07:13,250 We needed different professionals to build one application. 70 00:07:13,640 --> 00:07:23,690 Today, we have integrated programs that are going to give you the skills in order to build an artificial 71 00:07:23,690 --> 00:07:28,610 intelligence application by yourself as an AI engineer. 72 00:07:30,370 --> 00:07:40,840 Artificial intelligence applications can be of various types, types, images, video, audio, numbers. 73 00:07:41,230 --> 00:07:51,490 But the universalization of the artificial intelligence comes mainly from what we call LM applications. 74 00:07:52,020 --> 00:07:57,810 Which will soon evolve to become the new multi-modal applications. 75 00:07:59,280 --> 00:08:00,600 So in this course. 76 00:08:01,680 --> 00:08:04,590 They are going to learn about artificial intelligence. 77 00:08:05,340 --> 00:08:12,090 We are going to build a you are going to learn about artificial intelligence, application development, 78 00:08:12,090 --> 00:08:19,800 and in particular the development of the most important kind of artificial intelligence applications, 79 00:08:19,800 --> 00:08:23,070 which are the LM applications. 80 00:08:23,070 --> 00:08:26,190 We will talk more about this later. 81 00:08:27,010 --> 00:08:28,000 So. 82 00:08:28,890 --> 00:08:30,600 As you are seeing. 83 00:08:31,110 --> 00:08:39,210 There is a very important transition between the old artificial intelligence and the new artificial 84 00:08:39,210 --> 00:08:42,390 intelligence, and this has been very recent. 85 00:08:42,990 --> 00:08:47,040 We are going to talk about this in the next lessons. 86 00:08:47,400 --> 00:08:50,130 But right now a couple of notes. 87 00:08:50,550 --> 00:08:55,980 First of all, the all artificial intelligence a. 88 00:08:57,110 --> 00:09:00,560 Provided descriptive results. 89 00:09:01,870 --> 00:09:05,080 The new artificial intelligence. 90 00:09:05,080 --> 00:09:11,680 The generative artificial intelligence is providing creative results. 91 00:09:12,250 --> 00:09:15,400 So the old AI. 92 00:09:17,950 --> 00:09:24,610 For example, is label is labeling an image as cat or not cat. 93 00:09:25,340 --> 00:09:34,730 So it is going to provide the descriptive results based on interpreting or categorizing existing information. 94 00:09:35,310 --> 00:09:39,180 This is the most typical artificial intelligence application. 95 00:09:39,300 --> 00:09:48,060 You give the computer different photos, different images, and the computer can predict if the. 96 00:09:49,730 --> 00:09:53,750 Picture is about a cat or is not about a cat. 97 00:09:54,440 --> 00:10:00,650 So is a descriptive application, but in the new artificial intelligence. 98 00:10:01,690 --> 00:10:09,610 The computers are capable of producing new and original information, like like writing a paragraph 99 00:10:09,610 --> 00:10:13,480 about cats or generating a new image of a cat. 100 00:10:14,100 --> 00:10:21,240 So we are crossing a very, very new bridge here. 101 00:10:22,770 --> 00:10:32,100 And in terms of the typical applications we have in old AI versus new AI, we have a very different 102 00:10:32,100 --> 00:10:33,870 kinds of applications now. 103 00:10:34,200 --> 00:10:42,450 The traditional artificial intelligence applications were about recommendation systems, predictive 104 00:10:42,450 --> 00:10:46,140 analysis, image classification, etc.. 105 00:10:46,560 --> 00:10:56,370 The new artificial intelligence applications are advanced chatbots, virtual assistants, content generation 106 00:10:56,370 --> 00:11:08,040 like text, images, music simulators, etc. so we are talking about a very different methodology and 107 00:11:08,040 --> 00:11:11,640 a very different kind of applications. 108 00:11:12,760 --> 00:11:16,150 What is the importance of artificial intelligence? 109 00:11:16,180 --> 00:11:21,130 What is the significance of the new artificial intelligence right now? 110 00:11:22,500 --> 00:11:26,520 There is a wide consensus about among. 111 00:11:28,380 --> 00:11:34,320 Every business leader about every international consulting firm. 112 00:11:34,350 --> 00:11:37,920 About every university professor. 113 00:11:37,920 --> 00:11:46,470 That the new artificial intelligence is the greatest opportunity to create value in our time. 114 00:11:47,950 --> 00:11:49,030 I repeat. 115 00:11:51,670 --> 00:11:52,390 Excuse me. 116 00:11:53,320 --> 00:12:02,080 There is a consensus, a huge consensus in the business, in the consulting firms, in the universities, 117 00:12:02,080 --> 00:12:11,260 that the new artificial intelligence, what we call generative AI, is the greatest opportunity to create 118 00:12:11,260 --> 00:12:13,060 value in our time. 119 00:12:13,630 --> 00:12:21,100 And at the same time, it is the biggest threat to many companies and jobs. 120 00:12:23,110 --> 00:12:30,580 Therefore, you are living in a very exciting times and you are right now. 121 00:12:31,240 --> 00:12:35,050 In the forefront of this exciting times. 122 00:12:35,050 --> 00:12:40,540 You are making a very interesting move for your future. 123 00:12:41,910 --> 00:12:47,280 Remember what top business leaders say about generative AI. 124 00:12:47,790 --> 00:12:48,750 Elon Musk. 125 00:12:49,020 --> 00:12:52,200 Generative AI is the most powerful tool. 126 00:12:53,010 --> 00:13:00,450 Ever created, it has the potential to unleash a new era of human innovation. 127 00:13:01,070 --> 00:13:03,800 Mark Zuckerberg, founder of Facebook. 128 00:13:03,920 --> 00:13:12,440 Generative AI is key to solving some of the world's biggest problems like climate change, poverty and 129 00:13:12,440 --> 00:13:13,160 disease. 130 00:13:13,800 --> 00:13:17,040 Bill gates, founder of Microsoft. 131 00:13:17,040 --> 00:13:24,450 The new generative AI has the potential to change the world in ways we can't even imagine. 132 00:13:24,660 --> 00:13:32,550 It has the power to create new ideas, products and services that will make our lives easier, more 133 00:13:32,550 --> 00:13:35,640 productive, and more creative. 134 00:13:37,150 --> 00:13:45,790 In this lesson, we have seen very briefly what we are going to see in more detail in the attached materials. 135 00:13:46,870 --> 00:13:52,690 We saw the difference between classic programming and artificial intelligence. 136 00:13:53,320 --> 00:13:59,890 The different phases that the science of artificial intelligence has been overcoming. 137 00:14:00,310 --> 00:14:04,990 The different phases to develop artificial intelligence applications. 138 00:14:06,210 --> 00:14:11,490 The difference between all artificial intelligence and new artificial intelligence. 139 00:14:11,490 --> 00:14:16,500 And how important is the new artificial intelligence? 140 00:14:16,650 --> 00:14:25,890 In the next lessons, we are going to start seeing the changes that artificial intelligence is introducing 141 00:14:25,890 --> 00:14:27,600 in different areas. 142 00:14:28,510 --> 00:14:33,490 Jobs, businesses, startups, society. 143 00:14:33,820 --> 00:14:37,720 We will see that everywhere you look. 144 00:14:38,550 --> 00:14:46,470 Artificial intelligence is introducing opportunities and threats at the same time. 145 00:14:46,470 --> 00:14:51,870 So it is very interesting to be in your position right now. 146 00:14:51,870 --> 00:14:59,040 You are going to understand what is happening, what will happen, and you will be in the best position 147 00:14:59,040 --> 00:15:02,040 to take advantage of this new revolution.