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we think and how we do practical things better. So you can find us online, two different email addresses there. I'm I'm using one that's called iteration.ai because that's the place I'm sitting in where Maria O'Brien works and Eleanor, you're familiar with it as well. So I want to go through this a little bit of background, and I'll pause at different times where people can just reorient me or slow me down. But a little bit, little bit of background, we're going to have a look at what I'm doing, because it's important to know that the things that I'm doing have a basis of fact, and it has a basis in terms of of where, where I am and what I want to what I want to do. Now I'm trying to figure out how to get back, get back to my PowerPoint deck. So let me just stop a minute. Bring it back in. I so most of the things that I do, I start with an outline. So it's so embarrassing to actually show you like I would have started with this outline, so practical, a bunch of words that I have to make into a practical workflow, and then I use a series of tools to make the words pretty, and then use the Microsoft tool called PowerPoint to make it in the form you see now, so I'm going to show you a really quick thing about how Microsoft could actually do my work for me. And then I'm going to show you how ChatGPT could also be really helpful. In that regard, we'll have a within about, within about five minutes, I'm going to pause and ask people, hey, what do you guys really want to do? And then I need to give you a framework for where we are, because some people might consider AI as just a passing fancy, you know, it it's like, hey, we discovered steam. Now let's make steam engines. And you know, that lasted for, what, five decades. And then all of a sudden, you know, you could power something with petrol and diesel, and not just steam, not just coal. So digital transformation is the underpinning of all this, and then inside of that process of transforming how you do work is a framework that I use with people and processes and protocols that I want to explain to you. We'll show you how run a quick pro demo to show how copilot can browse for intelligent information, and how I use another service called Claude to write for a social network called blue sky, and how fast it is and how clever it can be, and how much of a time saving it can be. You're going to use, not ChatGPT for the avatar selfie, but you'll use the Edge browser and the image creator inside of Microsoft to do the avatar selfie, and then you'll do you enhance it by using Gemini service in Google called Nano banana, and then we'll recap where we are. So I want to make sure this also happens somehow, and it's not baked into the call here, into the left, into the deck, but I make sure that we you can share information in a free space called Flickr in a group called the Digital Transformation group. A half a dozen people on the call here have already joined that group. Simply have to ask, and I control that, and I let you into it. I want to make sure you're able to find a place called Google Drive, and inside that place, find a folder called RUNEU, and inside of that find another folder called images, and I want you to be able to upload what you do today into that images folder, just to prove that you're able to find it, and we can share information into that space and then in the future, unless, unless we have a serious change of direction, Tuesday evenings is when we're going to meet the rooms, 386174, double, 369, and I'll send you calendar invitations, one more simple one, and then a bunch of other ones. To inundate your months of October and November. You need to make sure you know how to reach me and how to reach Filipe. And I'll show you those places to learn. To make this whole program worthwhile, there are some outcomes. So when I sit down as a lecturer with technological university of the Shannon trying to make sure people understand, well, here's where we're going to go. So I want to make sure you can see you can understand how to possibly implement AI into a personal workflow and into professional workflow, which might be just getting through university curriculum or how to manage projects that you have on a university campus. Wanna make sure that you learn that you're doing this best through a series of improving prompts that can generate text and can generate images. I want you to know that there are very strong use cases and big tools that you can use that can enhance your personal productivity, and that's important, because some of these tools I'm going to show to you, they're actually not, you don't need to use AI to do the tools. They're just they're just ways of using a clever technology that you might have already in another piece of software. There are human factors concerning all this, and there are issues that the EU has about making sure that people are in the middle of the processes you do. Because if you're just banging pixels on a screen, or you're just burning energy in a data center, you're not actually able to, 
things are there. Okay, I'm going to ask just a few questions throughout the various sessions. I use this program called Slido, so if you're running on a web browser, you can just type in slido.com and you're looking for that room 11911, double NINE, and it's, that's the room number I'll use the next half dozen times. We're together. If you're watching this and you have a mobile phone just in your QR code, what's in the screen right now? You can go right to that room and you can, you can answer, you'll be able to answer questions that I give, okay, some background. So they put up with me back in 2023 when I was on the campus in LA Maria and, you know, watching him explain critical thinking and processes. And then I learned over the years that both he and I have been working with traditional data processing. We understand the psychology of work. We have dabbled with machine learning before it became a thing associated with AI, because we've actually been using automated processes since at least 2013 probably longer than that. But being able to depend upon a piece of technology, a simple piece of software, to do something, because we can tell it how to do the thing, how to do it fast, without us even being there, that's that's something that's rudimentary, and you don't need AI to do it. You just use, like, battery power of your laptop to do it, if you have everything set up, right. So here's what I want to know. I want to take a break here because and ask everyone these questions. Because I also need some some water. I want a small group discussion here. So I am curious to know, kind of digital tools are you using? Because that'll tell me. You know, how sophisticated you folks are. I want to know, you know, what kind of burning question Do you have? You can just have to be around digital transformation. It could be around, hey, I absolutely positively do need to know how to do this thing with AI. And that's the third thing. Are you concerned about a specific thing about using AI or are you do you want to drill down quickly and get an answer? So I gave you surveys before to say, well, what is this? And you know, what kind of what kind of program do you want to do, or what do you want to get out of the program? And we gathered all that. But now, you know, here together, I want to try to cover some of those things. So on the first question, like, if somebody wants to answer to put your hand up and talk, or you can, I'm sure we won't talk over each other, because there's only about 12 of us in the room. Like, what kind of tools do you typically use right now? Vanessa, can you start it off? Like, what kind of tool would you digital tool would you use? Could say, like, oh, Excel, of course. Because you're a business student,
doing. So what's happening on the screen right now is it's showing you some things that some agents and some automation and some tools for productivity. And what you see is productivity in this slide is, you know, freeing you up, you know, maybe scheduling information, maybe using tools for the trade, removing repetitive work and allowing you to become more of a person, as opposed to the slave or a person, a person punching a number on a screen or a key on a keyboard and actually getting jobs done. Most of you may know the next five slides I'm going to show, but I'm going to I need to lay down some terminology. Jennifer, AI generative. AI is one of the tool, the technology phrases I want to cover, I want to underscore what I mean by digital transformation and how it could relate to your own personal digital transformation. So that'd be like you chasing your tabs Eleanor or anybody else trying to free up space during the day, and then how AI might affect you and how it may affect the development of cleverly executed digital transformation. There are some skills, some attitudes, some behaviors you may need to develop, and some tools and apps which are actually less important than actually developing the flow and the workflow needed to use those tools. So this is a and I just realized I can't play this without having done something on my zoom, which is I got to tell my zoom to turn on the sound. So let me just do that. 

it in about three minutes. The initials GPT stand for generative, pre trained transformer. So that first word is straightforward enough. These are bots that generate new text pre trained refers to how the model went through a process of learning from a massive amount of data. And the prefix insinuates that there's more room to fine tune it on specific tasks with additional training. But the last word, that's the real key piece a transformer, is a specific kind of neural network, a machine learning model, and it's the core invention underlying the current boom in AI. What I want to do with this video and the following chapters is go through a visually driven explanation for what actually happens inside a transformer. We're going to follow the data that flows through it and go step by step. There are many different kinds of models that you can build using transformers. Some models take in audio and produce a transcript. This sentence comes from a model going the other way around, reducing synthetic speech just from text. All those tools that took the world by storm in 2022 like dolly and mid journey, that take in a text description 

and produce an image, are based on transformers, and even if I can't quite get it to understand what a pie creature is supposed to be, I'm still blown away that this kind of thing is even remotely possible. And the original transformer, introduced in 2017 by Google, was invented for the specific use case of translating text from one language into another. But the variant that you and I will focus on, which is the type that underlies tools like ChatGPT, will be a model that's trained to take in a piece of text, maybe even with some surrounding images or sound accompanying it, and produce a prediction for what comes next in the passage. That prediction takes the form of a probability distribution over many different chunks of text that might follow. At first glance, you might think that predicting the next word feels like a very different goal from generating new text. But once you have a prediction model like this, a simple thing you could try to make it generate a longer piece of text is to give it an initial snippet to work with, have it take a random sample from the distribution it just 

generated, append that sample to the text, and then run the whole process again to make a new prediction based on all the new text, including what it just added. I don't know about you, but it really doesn't feel like this should actually work in this animation, for example, I'm running GPT two on my laptop and having it repeatedly predict and sample the next chunk of text to generate a story based on the seed text. And the story just doesn't actually really make that much sense. But if I swap it out for API calls to GPT three instead, which is the same basic model, just much bigger, suddenly, almost magically, we do get a sensible story, one that even seems to infer that a pie creature would live in a land of math and computation. This process here of repeated prediction and sampling is essentially what's happening when you interact with ChatGPT or any of these other large language models, and you see them producing one word at a time. In fact, one feature that I would very much enjoy is the ability to see the underlying distribution for each new word that it chooses.
question. How often do you use it? I think most of you saying that you're using it. Hey, look a lot. But give me an idea, like on this Slido with your mobile phone, you can hit that QR code, simply tap it. If you go to slido.com and that room number 1191, 199, like, are we? Is everybody on this call, pretty much every day using it, or can't use it like on the university, so you're using only personal or like, it's bears, bears mentioning when people in small businesses in Ireland, when people in large businesses in Ireland get this kind of training from me, about 30% 30% one out of three people are using it in frequently. So someone like yourself. Vanessa, going to work in an industry application, you discover that it's pretty easy to find people, well, 30% of the people in a tea room that might only be using ChatGPT infrequently. So what is it? ChatGPT? You can talk to it. That's why a lot of people like it. You can use your own natural language, as convoluted as it might be if you're using advanced version of it, you can get all
kinds of output as suggested by the video. You can get text that produces speech, that produces videos, that produces images, and it can interpret stuff the other way around. It can listen to words. It can listen to audio and produce an underlying meaning from that. The napkin example, a couple you guys are using, producing diagrams, processing code, and if you're paying for it, the paid version, and it's easy to pay more than 40 euro a month, if you have a few AI is it can retain the information across different times you interacted with it through the memory that you customize as projects or as settings that you put in place to save it only to your local space or to save it to the world at large. So over time, using the same AI, it gets to know you, becomes more relevant, and theoretically helps you tweak its output to make it even more relevant to getting results. ChatGPT reached 100 million users a whole lot faster, like in the case here, two months then, compared to Tiktok, which took nine months, and compared to Uber, which 70 months. Amazing, how fast it arrived. All
right, we're going to be using Microsoft copilot. Or if you folks are really good at producing images with Canva or with napkin or with another app, well, maybe you don't need to do it this way, but I'm going to want you to be able to see the copilot logo inside the Edge browser. It is something that most of the RUNEU campuses have. So a lot of Microsoft 365 services are used across RUNEU. It's there because it offers enterprise grade security. Complies with the EU AI act. It allows personalization, and over time, it has contextual understanding. It understands where you are, what you're writing to, and you can tweak the context based on personal, formal or a balanced type of way. I also pay to use a service called perplexity because it tells you what it's doing upfront. Gemini is better in the last six months than it used to be, showing the sources up front. I like the side panel on perplexity because I can stick stuff into projects. I can share stuff publicly and publicly in spaces. Can make web pages out of it based on what perplexity is doing, and I enjoy that. But the big elephant in the room is actually what Google Gemini is doing now. So there's a thing called a context window, which is the amount of characters you can put into an AI to have it activate and look at the problem you're asking to be solved. And now Google Gemini, based on the models that it has with Flash 2.5 has world has the biggest context window you can jump put a lot of stuff into the prompt and understands what it's, what it what it has. If you have Gmail or you're using search, well, then I believe you should use Gemini in your toolbox, and what that means. And this could, this is like backwards reference Eleanor. I mean, I use, I shoot a lot of my Outlook mail to to my Gmail, and I use Gemini to tell me to pick up stuff that I might have missed. So I could actually ask Gemini. And I do this in the morning, you know, prior to washing up in the morning, I'll ask Gemini, have a look at my mail. Is anyone offering me money? And normally it answers the other way around. You've got four things that are overdue, you know, and two bill collectors looking at you. Well, that has not happened to me, but it could. So I asked it about money invoices past due and overdue. And normally, if you use the word overdue, it's pointing out that, look, you're overdue paying this particular vendor and and and that's not unusual, because I Bernard cards that I don't want stuff coming right out of my bank account without looking what it's spending. So it tells me that. And then the other thing about overdue, it tells me, hey, look, you, you actually, it actually spots Gmail, spots that I interacted with someone three or four days ago. And wouldn't it be good to interact with them again. So my point is, if you're using Google Gmail now, using the Google service, and you're not using Gemini, chances are you're not leveraging your personal or your business communication at the highest level possible. And I'll show you some specific examples of that in another session. I like Gemini for how it's it's in my toolbox, and it's delivering. It is delivering for me. I'm not here to sell you on Gemini. I'm
just here to tell you it's good. Claude, several folks in the call here use it. I started using cloud because it has constitutional AI, it said it was going to behave itself. Unlike grok, which does its own thing, it has large context windows as well, which means it can do big documents. The documents that I had that were big documents were like 300 page books that were written in Dutch that are translated to English, and then in one go it had a translation. It can do complex code bases. I watched 14 to 16 year old young people on our college campuses producing ready to go apps, phone mobile, phone apps. Just by talking to Claude and writers, several people in this call identify themselves as a people, people who like to write for people. Writers like the way its content sounds more human, like it's important to have an AI. So folks in the call here ChatGPT Came from open AI. ChatGPT Five has custom gpts. They perform like apps. If you're on a RUNEU campus, chances are you have copilot copilots powered by open AI. You can also get a lot of different apps 
for your phone, for your desktops, and throughout this the next five or six sessions, I'll show you how paid versions of AI can actually produce work for you, and also demonstrate how these services may operate in web browsers without having to use an app To activate the AI. So here's some demos. Here. I need to underscore this, because within a few minutes, we'll outline something want you to do, and during a break period, I want you to be able to do it. Now, it is possible to do the process of producing an image by not using Microsoft copilot in edge. That's a fact, but for folks who previously been on training courses, for me, they'd like me to explain, listen, if you're running the Edge browser, then you can run copilot and you can get the image creation to work faster. So I've used copilot in another way. I've had an exam on a web page, and I've used ChatGPT with another In another instance, to look at a PDF. So here's copilot creating an outline. So I took an outline of a previous session, not this session, but another session, and I dumped it
onto a web page. So I took AI, took a download of the PDF, of the PowerPoint, I converted it into a PDF, I uploaded it thing called Microsoft sway and become a web page. And then I asked copilot, Hey, have a look at this web page and tell me what it's about. So it's producing the from the PDF. It's producing this output. So it's looking at this output, and then it's going to say, I'll give you an outline for what, for what that output was. So it did, took a lot of dirty notes, notes that weren't quite ready for prime time, and it produced it as something that can export it as a PDF. So I can go from a rough cut PowerPoint deck or rough cut set of notes to both a PDF and a PowerPoint deck. Okay, here's ChatGPT doing it. Let's see. I think I'm talking on this one. 
write it down, and, believe it or not, it interprets an image and gives it structure based on how you've written, sketched out the words in the image, done that. I'm actually afraid sometimes to admit that that's what I've done to create a lot of content. But that's true, definitely true. So you've done this already. You've answered me when I was saying, What do you want to have answered? What do you want to have done? We've done that already. Okay, going to walk through this first few stuff called digital transformation, and I'll get to a point where we can stop, probably in about 15 minutes for about a 15 minute break. But let me explain digital transformation, because it's basically a foundation element. It gives you an overview of we're doing digitally based skills you're trying to become digitally mature. Digital transformation, or change leadership, change management. It's a KPI, a key performance indicator for hundreds of businesses. So if you're joining a company and you can see that one of their basic values is to become a key performer or a custom provider of important, digitally transformative skills, that's you that you're learning how to
do this. You're learning how to leverage technology. You're learning how to inform decision making of the people you're working with through tools that you've learned how to leverage, and you're learning those digital technologies so you can grow. Your organization can grow. And you know, the team you're on can develop and grow, because you're able to bring all this stuff into the middle. It means that you're adapting to rapid changes that are happening in the workforce today by becoming digitally mature as an organization. Some people would say, You know what, if you're not digitally mature, that means you're digitally immature. That means you're going to be an also ran so somebody would say, look, some people didn't like Nokia might not have caught the bandwagon of transformation when screens went from keypad screens to touch screens, and because Nokia wasn't there, digitally transforming the way it looked at the way information was in somebody's hands and moving across the internet from just touching on a screen, they were digitally immature. The same kind of logic could be applied to any industry today, saying, You know what? I want to make sure we're not caught out with this AI thing that's happening. So I need to make sure all my my employees are up to a higher level with AI. Yeah, they're telling you that what they're interested in doing, the companies are telling you, is they're interested in making sure that they are safeguarded against being caught out by some new company that's able to be digitally able. So need to let somebody into the room here. Hiram is coming in. Okay? So we'll go to a point here of a few more slides. Take a short, short break. Digitally mature. Digital maturity is what put 

that says. So there's some thought leaders that talk about this. Complexity is important. Forecasting is important. Chaos is to be expected. Adaptiveness is needed. David Levy, in 1994 said it's almost impossible to forecast for all the chaos is out there, it's complex because there are patterns to data, large gaps between the data points. Data might not be predictive because of the strength and the direction of the different vectors that are inside the data, and you don't know what's coming based on unusual data sets are in front of you. So the thought leaders are saying, Be aware of the fact that this is this is okay. You can be skeptical. You can be curious. You can be flexible. Meredith Whitaker, she runs signal. She's telling you, hey, you're going to depend upon AI, then you're going to be right into the space of deep fake AI generated reports, articles which only are based on a sliver of truth. Propaganda is being helped. Misinformation is being helped, and because of that, the EU is saying, hey, let's pay people to fight against disinformation by using these same tools to make content that people can trust. It's hyped. AI is hyped. It's controlled. AI is controlled by tech Bros and well funded companies, and Meredith will go so far to say this whole thing might just be a big blowout. I mean, we might be at PKI now, because the money's not coming in to fund it. So I want to go into cover couple. One other concept about 4p that I use of people and processes and protocols and programs, but we're at a point now where I think it's important to take a break, come back in 15 minutes. What I want to do is I want to stop this recording, and I want to and then I want to start again. This the same the same session. So if you have the link from the the previous calendar item, you can you can come back in to join it. I'm simply going to stop recording, and then I'm going to turn off the AI companion. I'm going to close the session and then open it right back up again before I do Does anybody want to say anything? And if there is, and if you don't want to say anything, just leave. But please come back by half past the hour, because I need to cover about 15 more slides. Then we need to do two tasks, and then two things you're going to create, and then see a couple of spaces that we're going to be in. So if you have nothing to say, just leave. Come back in 15 minutes. I have to go get some water. Anyone want to say anything? I won't be impressed. I won't be depressed. You've all leave. Hiram Mung,