Unlock AI: Master Prompt Engineering with ChatGPT

1. Introduction - What You'll Learn: Understanding how the body works, it's based on how you can actually engineer the best prompts. So in this course, I'm gonna show you exactly how to supercharge your prompts by learning the frameworks you need to know to create the best prompts possible. This course is about chat GBT prompt engineering. So I'll take you by your hand and show you exactly how to use one of the most important frameworks so that you can really create the best prompts possible. My name is Paulette is shown. I'm a programmer as well as an AI expert for almost a year now I've been studying IGBT or been studying prompt engineering in this course, I'm gonna show you exactly how to craft the best prompts for chatter beauty. Okay, let's go ahead and get started. 2. Lesson 1 What Is Prompt Engineering: The basics of everything when it comes to a tragic beauty is to understand how to write the best prompts. So that's the reason why we need to talk about prompting. So what is a prompt? So I prompt is indeed a set of instructions that you pass to charge a beauty. So essentially think of it as something that you feed to try DBT so that it can get results that you want. Now it is very important again, to understand how prompting works, the engineering of prompting. That way you get the results that are useful to you. The results that will help you do what you want to do. That is the most basic building block when it comes to AI, specifically speaking, when it comes to charge EBT. So really understanding how to construct and how to think about constructing or crafting this prompt is gonna be the difference between you getting the best out of your DBT versus you're getting the worst out-of-state IGBT. So that is the idea of this whole course. Optimal way to ask good questions to charge a beauty. That is, what prompting in this case really is 3. Lesson 2 - Prompt Components & Prompt Engineering: So we understand what a prompt is. But now it's time for us to understand what does a prompt actually contain? A prompt should contain a few things. The first thing that should contain is an instruction. That way you are telling charged UP t what needs to be done, what task you wanted to do. And also, a prompt may contain, in this case, a question you can say, what is the time in Singapore, okay, also can contain context. And that context is very important because contest it contexts is the more information that you'd give to it, the better results you'll get. So tragic, but he has some percent which contexts are you giving it so that it gives you the result that we want? And we'll talk about that. And also they may contain inputs as well as examples. Okay, So we understand what a prompt is now understanding what, in this case, what a prompt may contain. Now, this is very important because it say here, instruction is a given. And then we'll have a question that could be a question that we are prompting contexts. It's very important as we will see an inputs, examples and so many things. So a prompt may contain these items, are these components as well as many others, but these are the most, I would say the most basic, most important ones. Now let's talk about prompt engineering. Prompt engineering, what is it? What does that all mean? Well, what I'm talking about promptly engineering, we're talking about a way in which we can extract or we can have tried TBT to give us the most optimal result as possible. So essentially is the science per se of learning how to craft the best optimal prompts to instruct the model, in this case, IGBT, to perform a certain task. Now, this is very important. I want you to understand the correlation here we're talking about prompt. Prompt is just a question in instruction that would give to charge a beauty. Now, the study of, in this case, the breaking down of the, how can we create, how can we craft the best questions, the best prompt, so that charge, if we take an actual give the results that we want, is what we call prompt engineering. Because we are engineering, we're looking really deep how the mechanism works. And that is exactly what we're gonna be doing in this class, which is I will show you exactly how can we prompt engineer our prompts. That way we get the optimal results or the app more instructions that we can give to judge the beauty, the model. Therefore, we can get the best results possible 4. Lesson 3 Prompt Breakdown: Okay, so now let's talk about prompt break down. So we're going to look at the elements in this case of, so we can construct an optimal prompt because we're talking about prompt engineering. Now, we have to think in terms of, because we're talking about engineering rarely we have to break things down. So really understand Because remember, if we don't understand how prompts work, how to construct an optimal prompt, then we will just run into a lot of issues is going to be very hard for us to get the optimal results, the optimal responses from Chad to be t. So let's look at this. An optimal prompt will include a few things. Now, this is not an exhaustive list, but these are some of the frameworks that come with a really good prompt. The first one is in structured, we're talking about it. So instruction in this case, we are making sure that charging PTA understands or giving tragic beauty a specific task, in this case, instruction to do something that is very, very important. There are specific direct task. Could be list X or tell me how to do Y, or compile a list of x, right? So there are direct instruction to do something. We talk about contexts to create an optimal prompt, we have to have a context. So what is the context that we're contexts is when we give a child liberty more information about whatever it is that are we trying to ask tachypnea about? In this case here, this will give, this will help give the model more to work with. For instance, instead of saying, what are the best dogs in America, right? That is very general. You could be given a little more contexts. Say, what are the best golden retriever dogs in the state of Maine or in the state of Washington. Alright, so we gave it a little bit more context and you can go overboard by giving more context, more information. So that change to be t, The model is able to infer more about what you want to get back. And also, an optimal prompt includes what we call input data. So what this is, for instance, in the input could be an input of any sort, or in this case could also be a question. We want a response for output indicator. So I'll put indicator is the format of the output. We can say, for instance, a list ten best cities living in the United States. And you can see when I say list, that is part of indicating how the output needs to be, I want it in four on my list, or I could say, create a chart, right? Format this list into a chart or something like that. So that is the output indicator we're talking about. Okay, we're going to see examples of this. One thing to keep in mind is that even though I've shown you an optimal prompt, would include these components here. That doesn't mean that all the prompts you will ever write must have all of this. Some of the prompts that you may write may just have them be instruction and add contexts. And they don't have an output indicator or they may not have input data or vice versa. Don't get hung up on every prompt that I've ever right, will have this three or four in this case elements. So what we'll do next is we're going to give you, I'm going to give you an example, right? And then we're going to break down. So you can see the elements of a prompt. I'll see you next. 5. Lesson 4 Elements of a Prompt : Earlier what we did is we broke down what a prompt would include. Ok. And now what we're gonna do is I'm going to show you the elements of a prompt, a well-structured prompt. This is the prompt that we have. Tell me what sentiment the text evokes, neutral, negative, or positive. The text in this case will be, I think it's going to rain today. Now let's break it down so you can see there the first thing we have, this tell me what sentiment the texts evokes, neutral, negative or positive. This is what we call the instruction because we were saying talents, chat too, buddy, hey, in general, do this task for me. Then we have at the bottom here the text which says, I think it's going to rain. What this is is what we call, in this case an input data. We are actually adding some data to our input. We're saying, I think it's going to rain. That is what needs to be evaluated. And the next thing what we have here is sentiment. The sentiment, It's the output indicator. So we're saying in this case, well, what happened? We want you to tell me what is the sentiment. So you evaluate this instruction with this input data. The sentiment, which will be the output indicator, what we want, well, we want the output of a sentiment doesn't make sense. So if you look at this, something is missing. We don't have contexts from what we saw earlier as one of the elements that may be included in a good prompt. This validates again what I said earlier, that all of those elements that I said, they may be included, sometimes they will not be included in. That is totally fine, as you see here. This is a very good valid prompt that tragedy, but he will actually be happy and give you a good result. So just to give you an idea, this would give you actually a neutral sentiment because it, nor is it negative or positive. Looking at this is very simple, but that's the idea. I wanted to break it down so that you really understand the mechanics. Because now talking about the engineering, we're not just talking about, right? These do this now. This is the engineering, the framework I'm going to give you that way in any circumstances that doesn't matter if you want to ask to LGBT about very simple things or if you want to ask it very complex things like, Such as creating a big resume or writing a massive book. It doesn't matter. These are the basic concepts, the building block concept that you need to understand when it comes to really go in and look at the engineering of a good prompt. So that is my goal, is that you will understand what's happening when you see a prompt. So you understand the pieces I need to go together. That way you're able to create awesome OK, mall prompt. Alright, so now that we have real good grasp on what, in this case, what a good prompt is and understand what prompt engineering is. Elements of a prompt. It is time for us to look at frameworks for prompt engineering. So I'm going to go through a few frameworks and with examples on what are we gonna go to try to put t, I'm going to write those so we can actually see the differences. So we go from there. But this is the base that I want you if you need, if you need to re-watch these previous videos, right? So you will understand, because I think that is what's going to take you from here to here when it comes to your chat DBT and you're prompting capabilities. Okay, I'll see you next. 6. Lesson 5 FrameworksFor Prompt Engineering - Intro: Alright, so we're moving forward and now we're going to talk about frameworks for prompt engineering. So we're going to divide this course now we're gonna go deep down and understand these frameworks that will really get you understanding about prompt Engineering at a deeper level. So you can use that knowledge to really supercharge your abilities to talk or to prompt LGBT and get the best optimal results. So what is that we're gonna be looking at? What frameworks want to be looking at. Now, disclaimer here, there are a lot of them framework. So obviously I'm not going to go over all of them, but I figured out I picked a few that I think will be helpful in your journey of understanding how to prompt the best. In this case, the best prompt, which activity. So the first thing we're going to be looking at is clarifying objectives. We're going to look at the iterative refinement. I'm going to look at reverse engineering, question and answer prompt technique and discuss frameworks. We're going to look at instruction base, framework, conversational context, narrowing down, role-play, feedback loop, emotion driven. That's very interesting one, I'm going to look at hypothesis testing, comparative, assumptive, and perspective switching. Okay? That's, these are the ones that we're going to look at. And if I add one or two, that could happen as well, but these are the main ones that we're going to go over. So you really have the grass. Okay. Let's go ahead and get started. 7. Lesson 6 Clarifying Objective Framework: First framework we're going to look at is the clarifying objective. So the idea of clarifying objectives is exactly as it sounds. We want to make sure that our prompt is clear and has very direct objectives of what is it we want to ask. A good example would be something like this. If I paste this, we're compiling a comprehensive, yet easy to understand guide about World War II for high-school students. This is very direct. It has an objective, so it would tell the instructions are away. We are compiling a comprehensive who telling this is the objective which were clearly defining. We are compiling comprehensive, yet easy-to-understand guide about World War II. For high-school students will go ahead and say enter like such. You can see that because we gave which IGBT very narrow objective, which is in this case, to give us a guide about World War Two for high school students. As you can see, we have everything that we want. We have introduction, welcome to our comprehensive guide and the table of contents and talks about the background treaty over say, a rise of fascism, German Japanese imperialism, and the road to war in Asia. Outbreak of war, three major events and battles. This is a very good example of using, in this case, as you see here, a clarifying objective framework. So again, you go back, you can see what is the objective. The objective here is to provide a detailed, a very detailed, yet understandable guide of World War II. For high-school students, it's important to really, as an exercise to start with looking at all those elements that we've talked about. So there is instruction here. The instruction is to give us a very easy to understand guide about what, about World War II? For high-school students. Very specific. But again, the main part of the prompt here, we're compiling and comprehensive. So we adding more objectivity for this prompt. So what I want you to do before we go to the next lesson is to find ways where we can use this framework, which is the clarifying objective framework. The idea is that you have a very defined objective, which is in this case, to create or to give us a comprehensive, easy to understand guide about World War II for high-school students. Okay, so go ahead and give it a try. Think of something. You can do something in prompt IGBT using this framework 8. Lesson 7 Iterative Refinement: The second frame we're going to talk about is what we call the iterative refinement of. The iterative refinement framework allows us to kind of go through a conversation with tragic beauty. What I mean by that is that we can refine a prompt until we get the results that we want. It's almost like you're negotiating with it. In fact, negotiation with the AI or the model, one of the framework as well. But I think iterative refinement falls between or within the negotiation framework. So what that means is as follows. Imagine that I can say something like this. Imagine I started by saying, Tell me about World War Two, like this. Okay? When I hit Enter, what's going to happen is it's actually pretty, of course it will attempt to tell me everything that it knows about World War II. Now, that makes sense because as you can see here, it gives us a summary of what happens, when that happened, and how long it happened for. And all the things that lead to that, the causes that started world War II, as well as major events and battles in everything else. It may not be what we are looking for. This is the chance that we may have, because as you can see also, the prompt is very generic. That's why we get a very generic overview of the results that we get from writing or having this prompt Tell me about World War II. So very vague. And so the idea now is if you want something more specific, we can ask it through the iterative refinement. So we iterating through giving the different prompts, trying to refine to get to the prompt that we actually want, which will get us where we want to see essentially. So another way to make this even better, I could say something like this in detail, in a detail manner and structure. Please summarize all you know about World War II like this. And there we go. So now you can see we have even bullet points. And because nobody was able to refine a little bit, our rather we were able to refine Our prompt and contributor was able to give us a little bit more succinct to the point results, which is exactly what you want. And if you look at here, it says World War II was a global conflict, right? And starts putting together the causes in bullet point format. And also uses the outbreak of the war and major events in battles as well as Holocaust, Nazi atrocities and all of what happened with what happened in the world War II. Alright? And we can keep moving in our refinement. We could probably say something like this. Say please make sure that all the details are summarized further. As if I were to be preparing to give a, an elevator pitch about what world to something like this. Maybe not the best way of putting, but you can see we can continue refining everything and look at this. Right? Then you went ahead and summarize everything, condensed everything into this war. Well to the dates tells us was a global conflict with significant consequences. And even talks about the Treaty of Versailles, rise of fascism, Germany, Japanese expansion and all of that. And even touches on the Pearl, Pearl Harbor and major battles like Stalingrad at Midway. And all of this information touches on decolonisation as well and so forth. Alright, so you can see we went from a very vague prompt, which gave us very vague general response. And we came down to something that is a little bit simpler. We keep iterating through, going through different ways to ask the same thing to refine it. So we can get to the point where the iterative refinement framework actually works to where we get exactly what we want. So it's all about refining, going through this process until you find the correct or the right prompt that will give you, what do you want? Go ahead and practice this, right. Find any concept that you want to learn about and go vague first and then start refining until you get to the meat, until you are able to craft, engineer a very succinct, a very refined prompt that gets you, that gives you the right responses out of JWT. I'll see you next. 9. Lesson 8 Reverse Engineer: Okay, So next we're going to talk about one of my favorite which is the reverse engineering framework. So the idea of reverse engineering is to do backward. So essentially is looking at a prompt and start thinking backward to get to the result that we want. So a good example would be if I were to say something like this, please summarize the main causes of World War II, the key events during the war and its global aftermath. Now you can see that when we look at this prompt, is that the prompt has been constructed to guide catchy between this case towards a desired result, which is in this case the key events during the war and its global aftermath. Okay, So these are the things that we need to cover. We asked me in chat if T to cover when giving back the results. So this is the book. So that's the beauty of reverse engineering because as you can see here, we thinking backwards from the desired response, Let's see what this is going to do. So I'm gonna go ahead and click. Now you can see each IGBT went ahead and put together the causes because that's one of the keys that we asked to consider. The key events demand causes first and then the key events during the war, and then it's global aftermath. You see here we have the causes harsh treaty over say, rise of fascism, German Japanese expansion policies. And then we'll have the key events during the war, German invasion, all of that. And then the global aftermath, Holocaust and total mobilization of the home front, Allied victories and all of that. And at the end of course we have this very more succinct summary of everything. World War Two had a lasting impact on the world, shaping political, social, and economic structures. Its consequences serve as a reminder of the importance of peace, understanding the pursuit of a better future. And there you go. So you have the reverse engineering framework that's very powerful. You can see that the prompt is being constructed or was constructed to guide you towards a desired response. So we took Teddy beauty with handheld it to give us exactly what we want in this case, reversing, reverse engineering everything. Again, go ahead and think of a situation or think of a prompt that you can ask her deputy, or you can use this framework and you will see the power and nuances of this awesome from work. And I hope this is going to be helpful. Keep practicing. That's the most important thing. Alright, I'll see you next. 10. Lesson 9 Question Answer Framework: Next we're gonna look at another framework called question answer, which is essentially as the name imply, you just go direct and ask a question to try to beauty. For instance, you could say something like this. What countries initiated World War to put exclamation mark and say, Enter and see what tragedy is going to say because we prompting directly with a question and hopefully we get a response. And from there we can reverse engineer. It, can go back and make it more objective. We can do all sorts of things. But that is the idea. Okay, let's see. Sometimes IGBT just want to go. So let's see what's going to happen here. Let's give it another try just to make sure. Okay, there we go. So because we give it a very straight question, so we are using this gets question answer framework. So what countries initiated World War II? Alright? So the country's initiated World War II were primarily Germany, Italy, and Japan. Okay, it gives us an overview of each countries involvement in initiating this war. There we go. So this is very simple. Just go ahead and ask a question and you get an answer. You can ask another question. And here we can continue using this question answer framework and say which of these countries, what are the most vocal about World War two? Just to see. So it goes ahead and talks about exactly answering the question that we asked. And it tells us exactly the countries, but as well as the leaders who were very vocal about it. Alright, so there we go. Very, very simple example. Just think of question answered. So you ask it directly and then you get an answer. Remember the idea here we are learning how to craft, how to engineer the best optimal prompt. So I'm showing you these frameworks. That means you can use them as you go through, as you think about what you want to ask such attribute t, that is the idea. So in this case here we're using question answer. Again. Also use the iterative refinement that we saw earlier as much as you want to get two different answers, different results. So that is idea. Go ahead and test this out, and I'll see you next. 11. Lesson 10 Instruction-Based: Next we're going to talk about instruction based framework. Now as the name imply, this means what do we need to do with instruction based framework is we give such beauty, explicit instructions about what we want the outcome to be. So a good example would be, I just see here I'm saying in detailed and a structured manner. Please summarize how World War to change the way we live today. And you can see here, we are talented. You butene, no pun intended. I'm using the same word, detailed, but it works right? In detail and structured manner. I want you to summarize how World War to change the way we live today. And if I hit Enter, Let's see what the results will be. There you have it. You can see tragedy is spitting out in detail. What do we ask it to do? Let's take a look. Okay, so World War II brought about significant changes that continues to shape the way we live today. And here's a detailed summary of transformative effects. World War II, global power shift. Number one, technological advances and scientific progress, human rights and international law, economic and social transformation, it technology-driven and so forth. This is a very detailed approach, instruction based because we instructed a directly and what we want to do. Now some of these frameworks do overlap with each other, but I just want to show you the whole picture so you understand what's happening as you construct prompts. So as an exercise, I would like you to use the same approach, this instruction based framework, and see if you can come up with even more detailed instructions. This is a very simple example. I'm going to say in detail and instructional manner. Please summarize to try and figure out other ways you can give more details to your prompt. And once you do that, I would like you to share that prompt and those prompted with us in the comments. Alright, very good, salty. Next 12. Lesson 11 Conversational Context Framework: Alright, so now because the wage IGBT actually works in general, this next framework is almost like a no brainer. It's almost like it's already built in. The next homework we're going to talk about is the conversational context. Now what this is, is it allows us to continue almost like a thread chat thread, contextually continuing to talk about the same thing and asking about the same subject. So essentially is a conversation we can have. You can say, okay, you told me this, this is good response. But now, how about this, about the same contexts that we're talking about? In this case, we're talking about World War II. We can do something like this, right? I can, well, because earlier we asked it in detailed structural manner. Please summarize how horrible to change the way we live today. Now, it's more of a follow up question. And I say in how did it impact the African continent? Include the most relevant events triggered by World War II in the African continent. Alright, so let's go ahead and see what will happen. Because see now I have the next leg or the next step. And that I've prompt because I want to continue this conversation contexts. It says here, World War II had significant impacts on the African continent, shaping its political, social, economic landscape. And here are some of the relevant events are triggered by war in Africa, north Africa. So it divides it in all directions. So going North Africa, East Africa, West Africa, north Africa and sub-Saharan African liberation movements and postwar politics, political changes. Alright, there you go. So this is conversational, which means you can continue asking more questions, but remember that you keep the same context. Then we'll talk about contexts. We're talking about what chatter be teed knows about what are you talking about. So you notice here I said How did it, I didn't say directly World War II knew exactly inferred by the, it might infer that we're talking about. Warble to the context is still there because that's what we've been talking about on this chat. Alright, there we go. Try to figure out ways in which you can continue this same conversation or whatever conversation is starting on charity, beauty, and practice. Don't forget to share with me in the comments, the results, and of course, the prompts that you're crafting, because that's very exciting. Alright, that's it for now. And I'll see you next. 13. Lesson 12 Conversational Context Framework: So narrowing down is the next framework we'll talk about as the name imply narrowing down what it means is that we want to start broad with a broad concept that we want to ask. And then we narrow down again back to sort of a conversational context to exactly what are the main points that we want, the detailed. So a good example would be, let's say, if I asked you IGBT, something like this, tell me about climate change as we've seen before. This is the best example, one of the examples of abroad, the prompt. Let's see what's going to happen if I just go ahead and hit Enter. Now try DBT. Climate change refers to long-term shifts and alright, alterations in global original weather patterns that goes through all of the technical jargons and everything, the causes of climate change and all stocks about impacts of climate change, the rising temperatures and changing precipitation patterns, ecosystem disruption, and all of that. There's also mitigation and adaptation. Alright, so that's pretty good in all talks about international cooperation, understanding climate change and taking collective action. Alright? So narrowing down because we've went very broad and it gave us a very broad definition, very broad explanation of what climate change is. Now we can write something like this as a prompt, okay? Because now we want to narrow down what are some major causes of climate change from that broad definition. Tell us, what is this now we're saying, okay, good, that's great, but what are now some major causes of x in this case of climate change? Let's go ahead and run this. Okay, So it says here, climate change is primarily caused by human activities that release greenhouse gases. Ghg is into atmosphere. Here are some major causes, so it lists all of the major causes as you see vertical. So that's the deal. We can even continue narrowing down. Remember this is part of a conversation as well. Always think in terms of you are conversing with tragic b t to get the results you're looking for. Alright? So the refinement, again, same thing, really, refinement of these prompts as we engineer them, these problems. You have to also understand that you tweak things along until you find or you get exactly what you're looking for. So that is the engineering part of it. There is no one formula that fits all. It's just it's just trying to figure out, trying to find, trying to refine our prompt engineering, our prompt crafting or prompts to where we get to the meat of the issue or of whatever we're looking to get out of such beauty. Okay? Alright, I'll see you next. 14. Lesson 13 Narrowing Down: Now we're going to talk about one of my favorites frameworks, which is role-play framework. Now the role-play framework, you can use it to really get to the meat of whatever it is that you're trying to learn or get allocated between. The idea is very simple, is that you use a role to explain or do something. Explain X concept as if I were two years old or three or five. White depends. So the example is very simple. I'm going to, I'm going to show you an example. So here is a role-play example. So it says here, imagine I am a fifth grade student. Can you explain to me what photosynthesis is? Right? Let's see what happens. So the idea, as you see here, is that I'm using a role-play. Say, Hey, imagine that I'm a student who is a fifth grader student. That's very important. So that is the role I want IGBT to play. And then once you understand that, it's got that part, I can you explain to me as a fifth grade student how photosynthesis works? This is very powerful because it shows you the power of tragic beauty and how it really understands our commands are prompt to get exactly what we want. Let's go ahead and see. Okay, there we go. So now it spits out everything that it knows about, chat about, in this case, photosynthesis to a fifth grader. And says, Of course, I'll be happy to explain for our citizens to you as a fifth grade student. Photosynthesis is a process that plants use to make their own food. Very, very simple to understand. Oh, okay, that's exactly, That makes sense. Just like we humans need to eat food to get energy. Plants also need energy to grow and survive. But unlike as plants can't go to grocery store to buy their food, instead, they make their own food using special process called photosynthesis. That's very cool. That's really, really great. I like this analogy. It's really great because it's for a fifth grader. Now we could do the same thing. I can say. Imagine, I am this case grad student. Let's see what's going to happen now. Because now instead of fifth grader now I'm a graduate student. Let's see how it will explain. Okay, there we go. So you will expect that the explanation is going to be a little bit more complex because we are a grad student or we asked her liberty to act, or in this case, to imagine that we are a grad student, certainly as a graduate student, let's dive into more detailed explanation of photosynthesis. Photosynthesis is a vital process that occurs in plants, algae, some bacteria. It is the primary way in which these organisms convert light energy from the sun into chemical energy in the form of organic molecules we see in the previous prompt, we did not even talk about organic molecules because molecules, It's an advanced topic. A kid, a fifth grader wouldn't probably know what a molecule is. So now we're going to dip down a specific path because we ask it to play a different role. So there we go. Now I can even go further. This is just fun. Just playing here. Instead of I am, I'm going to say, imagine I am a genius. Imagine I am Einstein. Imagine I'm Einstein. Can you explain to me what photosynthesis is? Let's see what's going to happen. There we go. So it went to a genius level because Einstein was a genius. Certainly photosynthesis is remarkable process problem. And then photosynthesis takes place in a specialized organelles. Organelles. So we're going really deep into the world of botany, botanic, I think it's botany, botany called chloroplasts. Very, very deep, okay, primarily found in cells of plants leaves. Within the chloroplasts, there are pigments such as chlorophyll that absorb light energy from the sun. So now we're explaining to we using, so now we've changed roles. So say you imagine I am Einstein switch IGBT knows who Einstein was. Very smart person. So instead of explaining it as a fifth grader or even as a grad student who went to step up to X1 because Einstein want to say, what a smart. So it assumed that Einstein had a good grasp, of course, if science. So it went ahead and went a little bit deeper in the explaining what photosynthesis is. Pretty cool. We're actually in learning really good stuff. I actually remember learning this stuff when I was going to school. Alright, very good. End there you have it. Understanding, role-play. It's vital to prompting or to creating, or in this case, to prompt engineering. Because it allows you to tap into the very core of how tried laboratory works. Because now you're giving tragic beauty, a role to play and see what it comes up with. You can use this in many different cases, and you will see the results are incredible. Again, you can use the previous frameworks to refine, find a conduit, to have the conversation contexts and so forth. But it is just amazing. It's one of those frameworks that I use all the time. And if you know how to use this very simple, if can refine, continue refining, and finding other angles, you will see that you are unstoppable and you will get really good results with tractability. So this is part of engineering, part of breaking things apart and finding frameworks that we can use to get the results that we want. Okay, Thank you so much and I'll see you next video. 15. Lesson 14 Feedback Loop: Next, we're going to talk about feedback loop framework. So what this means essentially is if we have a prompt and then we type the prompt, hit Enter, we're going to have an output from that prompt. So the output of our first prompt is going to be the input for our second prompt, creating this feedback loop. Let me show you real quick. Imagine that we have a question or a prompt like this. I'm going to ask her to be T to tell us a story, should say, tell me, but okay, tragic, pretty smart enough to know that we made a mistake and it fills in the blanks for us. It's telling me a story because that's what I, that's exactly what I asked. Once upon a time in a small village nestled the edge of a lush forest, there lived curious girl named Maya, my head it insatiable appetite for adventure and heart full of wonder. So now what do we can do is we understand, of course it's about Maya and we can ask a question, a follow-up question for say, a feedback loop. Now what we can have this multi-term conversation as they call it, how many sisters had Maya? How many sister Maya has something like this. I'm sorry, but I don't have access to personal financial planning vehicles unless it was being shared. Okay. That's fine. They just tells us it's tragic, which doesn't have the context of the information that we asked. We can say, for instance, that means the output of our first prompt was not a correct input for our second brand, in this case, for our feedback loop. So it's okay, well we can do now we can say something like this. What kingdom was Maya? From? There we go. And now it's telling us the Maya civilization was not associated with specific kingdom, but rather refers to a missile. Mesoamerican civilization that existed in the region that encompasses present day. Now, the idea here is that what happened is that we still have that problem because charity beauty is assuming Maya as the Mayan civilization in that are Maya here. And also just noticed that I made a mistake on my prompt. Let's go back to this prompt here, right? See if we get the same issue. How many days or how many sisters Maya have? We still have the same thing here. Now, this is a good thing because it tells us that its context, context is very important, of course, with juice IGBT, and especially when we talk about feedback loop framework. So in this case here, what do we can ask? We need only to be able to ask things that are related to this story, right? There is telling me a story that we asked earlier and tried to produce, spit out this very nice story. So again, goes back to understanding that context is everything. Because if you ask tragedy something contextually speaking, it will look at what you've tapped, typed, or the story, or whatever it is that it will spit out earlier and we'll base off of that. So in this case, That's why we have in this problem. That's why I tell you, but it's not really get into context of what we're asking because in this case, our feedback loop is not going to be completed. I'm going to be able to occur or happen because the context. So let's find something else. Let's go back to our story. Okay, so it talks about the Guardian tree. So we can ask something like this. Who was the garden? The Guardian. Who was the guardian tree? And how old was he or she? Alright, let's see. Okay, there we go. Now, in the context of the story previous fair, The Guardian tree is a fictional character that represents a wise, ancient being inhabiting the forest. The Guardian tree possesses magical qualities and holds knowledge of the forest and its creatures. There we go. So we took, of course, tried to be too, went ahead and understood that we asking that the contexts in this case has to be the story that it wrote for us because we can ask it to. And then we, now, we have now able to complete or rather to have this feedback loop, right? Because we asked about the Guardian tree some deeper information. So we got the, in this case, the garden tree is an output from our, from our story, which came from our first prompt. And the garden tree as the output now is an input on our second prompt here doesn't make sense. So this is what we call feedback loop. So we can do this with anything that you asked her beauty. But remember, as we saw here, context is everything. So try to be these real good at finding the context. But if it cannot infer the output as you saw from the resource or in this case from the response. It will just not know what to say because it doesn't have that information. So feedback loop, think of it as output from a, has to be the input for B. Output from the first response has to be the input for the second question, or in this case, second prompt. Alright, great, Thank you and I'll see you next. 16. Lesson 15 Emotion Driven: Alright, so we're making really good progress here and I hope you're enjoying this lessons. And what are we going to do next is we're going to talk about the emotion driven framework. As the name implies. We are going to pack emotion into a prompt. That way we can get a little bit more out of IGBT. The idea is that we're going to be crafting prompts as you can see, as you will see in a little bit here, we're going to craft prompts that evoke or inquire about specific emotional responses. Here, here's an example. Igbt. Can you create a heartwarming story about a dog who helps a young boy regain his self-confidence. Now, look at this. It says heartwarming story. Write, it evokes a sense of, it evokes emotions about a dog who helps young boy regain his self confidence. And so tragic, but you will have to keep that in mind. If I may say that this story has to be heartwarming and emotion of heartwarming. Lets go ahead and get her to take a look. There we go Once upon a time, writing this story. So it's finished writing the story. And let's see, once upon a time, a small town nestled with shimmering lake. There lived a young boy named Max. Max was a kind-hearted child, but he had lost his self-confidence after difficult experience at school, feeling alone and discouraged. He spent most of his days secluded in his room. Okay. So of course the story goes on. And as you know, this kind of stories, they have to end with a teaching and moral of the story per se. Okay, we're good. And of course at the end, Mark Maxwell have confidence. There we go. So this story is heart-warming as you see if you read more because the idea is that Max was a wonderful kid, but then something happened to Max, made him secluded. I didn't have to read the whole story to see that that's how it will go, where Max for something's going to happen to him. Again, we'll make him feel that he can be confident again. Okay, so that is heart-warming, right? Because if you read the story, it makes you feel, Oh, so that's the idea. And it's all about direction again, as we talk about crafting the best prompts possible, engineering the best problem, the best prompt, the best prompts possible, is that we're crafting something that will always give us what we're looking for. And that is very important because it's all about the language, right? If you ask the right questions, you get the right answers quicker per se. Now, you use this, you can say heartwarming or sad, or lively or whatever, whatever adjectives that will evokes a sense of emotion. You can use those when you craft your prompt and you will see amazing results. Okay, so what I need you to do now is practice this as always, that should go without me saying, go ahead and practice this. And remember, I'm using a very trivial, in a way examples, but this can be used in any situation. It doesn't matter if you're writing a story, if you're running a blog, if you're writing something, you can use all these frameworks together to really crafted the best of the best prompts. Alright, go ahead and practice and I'll see you next. 17. Lesson 16 Hypothesis Testing: In this lesson, we're going to talk about hypothesis testing framework. Now this is actually one of my favorites because what it does is we're going to structure our prompt. So that will give it an hypothesis. And then we're going to let tragedy beauty because she understands more than we can possibly understand why electric GBT to explore and to confirm or deny that hypothesis that we gave to it. Here's an example. Given the, given the hypothesis that regular physical exercise improves mental health, can you provide arguments that support or contradict this? This is real good. Now we're saying, so given the hypothesis, we're pretending that we don't know if this is true or false. So we are giving an hypothesis that exercise improves mental health. We ask him to GBT to give us an argument in this case to support or contradict this hypothesis. Let's go and see. Alright, so it's writing now supporting arguments, release of endorphins, stress reduction, increased brain function, social interaction. And we have contradicting arguments here, individual variations, underlying conditions, motivation and compliance and other interventions. So there we go. So we've used this hypothesis testing framework, as you see here. Of course, we can use other frameworks we've learned to even dig deeper with this hypothesis testing framework three Tesla now. So I hope you're seeing the connectivity of all of this engineering of work that we're doing of crafting the best optimal prompts for tragedy 18. Lesson 17 Comparative: So next we're going to talk about comparative framework. So what are we doing here is we're letting charge of beauty. We're giving it a prompt or something. And we're going to let, try to beauty to use its own power to compare or contrast also those two things or something. Okay, so here's an example I'm going to show you real quick. So can you compare and contrast classical music and rock music in terms of their history, musical structure, and cultural impact. You can see we are comparing what classical music and rock music. But we corner even further by saying in terms of y, in terms of their history, musical structure, and cultural impact. Alright, so let's see what China, but he has to say, there we go. So it went ahead and put together a list for each of the structure that we added. We want to compare those two in terms of history, musical structure and cultural impact. So it divided everything for history. It's classical music is originating in the Western tradition and spans broad period of the medieval era to the present day. Talks about Mozart, Beethoven, Bach, and Szarkowski, alright, and rock music and talks about all of these artists that started, well. Pretty much brought this to prominence, rock music and prominence in the '60s and '70s. And because we asked her to be due to also look in terms of the musical structure. Classical music is characterized by its complex composition and formal structures. Okay, So not as symphony concertos and foods are few gears. And rock music and cultural impact and all that. And of course at the end, we have that beautiful summary that always comes with tragedy butene. Now, one thing to keep in mind here is that when you construct your prompts, is that we could have said Clinton compare and contrast classical music and rock music. We're going to stop there. But as you should know by now, that is a little bit more generic. We want to focus narrow things down so we can get the best arbitrage of butane. Like this is part of constructing an engineering. Your best prompts. So we said, well, in what turns, in terms of their history, musical structure, and cultural impact, There's an airplane going above my house now, I apologize. Alright, so it's important to always think of narrowing down because it is about narrowing and down where that we can get what we are really seeking, looking for in terms of results from each activity. So always keep that in mind. Alright, great. I'll see you next. 19. Lesson 18 Assumptive Framework: Okay, so we're making really good progress here. I hope you're enjoying this lesson's this course. And if so, please don't forget to leave a review that will really make me happy. So next up we're going to talk about assumptive framework. What this means is that we're going to craft a prompt. They tend to be prompt with some assumptions. Now, we don't judge these assumptions being true or false. Now we're just going to give some assumptions. Then we're going to let check GBT to use those assumptions and build upon that. Here's an example, assuming we have established a colony on Mars. Oh, that'd be nice. How would daily life on Mars be different from life on Earth? That's a great assumption. So what he's saying here, he says, assuming there's one assumption that we live in a colony on Mars with established ourselves on Mars. Please try to predict how would daily life on Mars be different from life on earth? So we'll give it an assumption and we ask what we want from cyclobutane. Alright, let's see. Okay, there we go. So it's now done. And we have something here, okay? Gravity and physical effects. So it broke down into a list and the bullet points of to present all of the, some of these ways where life on Earth and Mars may differ. So first of all, gravity and physical effects. It's talks about reduced gravity. Reduced gravity on Mars. Adaptation challenges, atmospheric, atmospheric conditions being different, environmental factors, and so on. As you can see, the assumptive framework is really easy to use and really gives tragic beauty and more a bigger playground to play with, to really get the information that we're looking for. And of course, you can always go in and refine, keep refining. That should be the thing you always think about. You can always refine your prompts until you get to where you want to be. This is the assumptive framework and the idea is that you give some assumptions to try to put to you. And you ask a question based on that assumption and then check liberty will build off of that and go from there. Okay, I'll see you next. 20. Lesson 19 Perspective Switching: We're going to talk about perspective switching framework. Now this is another one of my favorite because whenever you have some sort of perspective or some sort of an angle, those are elements for prompting or creating or crafting in this case. And one of the best prompts that we will ever do the engineering of it. So they did rule is very simple, is that we are asked to IGBT to give us a different perspective right there, hence the name perspective switching. So we're really asking Has your beauty to give us a different perspective on whatever we're trying to ask. Here's a good example. Explain the concept of blockchain technology as you would to a computer scientist. And then as you would to a 10-year-old. Now you can see when you look at this, this prompt requests the AI to explain this same concept, which in this case is computer science or rather a blockchain technology to two perspectives, right? So the first part of the prompt is asking to explain this concept of blockchain to a computer scientist. And the second part is to explain the same concept to a 10-year-old. Let's go ahead and take a look. We have the explanation to a computer scientist. And of course it's gonna be a little bit technical, decentralization, cryptography, consensus mechanism, imitability, smart contracts and so forth. And then do a 10-year-old, of course it goes head uses a lot of more analogies to understand. Honestly speaking, I always like the 10-year-old, right? Because it's just it's it's a day to day language and it's always nice, of course there's part, there's place for both. But whenever you want to understand something first I go for a 10-year-old. Alright, there we have it. So using perspective, switching from work, as you see here, it's a very powerful because now you have this comparison. If you want, for instance, you are teaching a class, so you want to explain something to your grandma. You can always use this framework for white. So use perspective of a ten year old versus the perspective of a 45-year old. Scientists and non-scientists, a biologist, a computer scientist, or a physicist and so forth. So it's really fine actually you can actually IGBT to explain certain diseases as a Dr. in contracts, as a biologist or as a PA physician, physician assistants. And so many things, right? Go ahead and play around with this concept and remember to always go back to the previous frameworks I've shown you here. And you can match, right? Get parts of this framework and the other one and put it together. One thing to keep in mind as well is that you don't have to add all of these different frameworks in one single prompt, right? It's sometimes virtually impossible. The idea is that whenever you want to prompt champ GBT something, first of all, the first most important thing is to remember that you have to give very clear specific direction. That is number one. Otherwise we just get, as you saw, a very generic response. And from there you start going down the list of the frameworks we've used in many, many other frameworks. But the idea is that you always refining your all's constructing your always engineering these prompts. Point where you can get the V prompt that will get you the results that we want. And always keep that in mind. It's a refinement process. You're constantly refining different contexts, adding different perspective switching or roles play, role-plays, whatever it is that you need to get exactly what you want. Okay, so what I want you to do is to create at least two prompts. You, you can choose whichever topic you wanted to target. And then once you have those two prompts, try to use this perspective switching framework and see how that would work. Share that with us in the comments and let me know. Okay. Thank you. And then we'll see you next time. 21. Final Thoughts: We went through a lot of different frameworks. We can use it to craft and to engineer our pumps. Which activity? So the idea is to use all that we've learned to refine your tragic tip prompts, to engineer, to craft the best tragedy. But he promised you can possibly do if you master these prompts or whether if you master these frameworks, you will see that the results you get which IGBT or we'll keep going better. Now, the thing is, all of these take practice, so don't watch this lesson just once. Just keep watching these lessons. And most importantly, keep practicing with intention. And you will see the difference in the results we're getting, which had to be t. That's the whole idea. To supercharge your prompts. You have to learn about prompt engineering, which is exactly what I showed you in this course. So thank you so much for your time. If you like these lessons, if you like these videos, if you'd like these lectures, don't forget to leave a comment. Don't forget to review this course and let me know. What do you think of this course? It would really mean a lot to me if you do that. So, thank you so much. And happy prompting or rather happy prompt engineering. Alright, I'll see you next time.