Google Drive MasterClass 2025 - All Features

1. Welcome Video: Hi, guys. Welcome to my full AI skill scores on Chat GPT, Google Gemini, Mid Journey, Adobe Firefly, and Moe. All AI tools and benefits. My name is Samoikumatas. Just to give you a background about myself, I am an ex Google employee with 16 years of experience into paid advertising, and I've been teaching paid advertising for more than ten years now, and I teach to a lot of young professionals, entrepreneurs, and experts who want to get into this field. I wanted to take this opportunity today to let you know what we are going to learn in this course. You're going to see the usage of these AI tools in a lot of different ways in this particular course. Starting off looking at the complete hat GPT guide, how you can use Chat GPT Mid journey for making money online, and then usage of Chat GPT and different aspects of work, business writing, marketing, SEO, social media marketing, how you can do with hat GPT. And then looking at the other tools as well, which is Google Gemini usage in marketing, AI usage in marketing, and then looking at image generation tools like mid journey, Dali three, stable diffusion as well. This is going to be quite an extensive course comprising of 35 hours of content, covering all these tools and different aspects of business, which will get to see practically how you can use them to improve your business for yourself and for your clients. Thank you once again, guys, for enrolling into this course, and I'm really excited to see you inside the course. 2. What We'll Learn About Using ChatGPT: Hi, guys. Welcome to this session. So in this session, we want to start off with the introduction of understanding what we will be learning by using Cha GPT. So to start the basics, so look at what Chat GPT is. So Chat GPT is basically an AI language model tool trained on a massive amount of data, text data that generates natural language responses in a very conversational matter. There is a huge amount of data it is connected to which it looks at, analyzes it, and based on which it gives you its responses based on the prompts which you give it. Now, if you look at how it is going to transform in the future of it, it looks like that this gets easily integrated into our devices, which can be our computers or smartphones. And you can imagine it like becoming a personal, full time personal assistant, which is customized, tailored to your own needs because you're continuously feeding it with your data, your own details, your interest, your likes and dislikes. So it's able to give you those responses based on that. The other aspect of it is other benefits of this tool can be that it's saving a lot of time. Obviously, a lot of manual work which we have been doing so far can be given to Chat GPT, which it can do really fast and saves us a lot of time. Apart from this, it can also extend into other segments or fields of work, which maybe we don't have complete expertise in. I can give you a lot of insights into that and we can quickly start off with other fields as well, get some ideas off the ground and then start executing them. It really helps in benefiting in all aspects of work personally and professionally. Apart from that, one of the main types of outputs which you can get from here is obviously first is going to be synthesizing info wherein let's say there's a huge amount of data which you've got, which you want to simplify and put it in a man concise manner, it can do that for you. Other than this, you can also look at content creation and add copywriting scenarios which you can use it for where it can do it for a particular brand and generate specific content around that particular brand. Learning and research can also utilize from Chat GPT because of the it can answer a lot of specific questions, research, detail information it can provide you by giving it specific prompts related to it. And finally, coding as well. This tool can also generate code. It can give you information about programming concepts, APIs. It can help in debuking certain issues which you're facing in your code. So you can see it has a lot of advanced level of features, capabilities which I can help you with where you're looking at work in such particular manner. I hope this makes sense. In the coming videos, we're going to see a different scenarios in which we're going to use it so that we can amplify and make our work done in a much more effective manner. Thank you so much guys, for listening to this, and I will see you in the next video. 3. ChatGPT Vs Google: Hi. Welcome to this session. In this session, we wanted to see another tool which you can use along with Google Search. This will be a Chat GPT extension, which you can also upload. You can install yourself and you can use it along with your Google search results which you get to see. The great part is that now when you're doing any Google search, Chat GPT also alongside can give you the responses of it, and then you can compare both the responses and then decide which one you find it to be best and you would like to go ahead with. It's pretty simple to use. You can upload this particular extension first, which is hat GPT for Google. And once you have this in place, you can go ahead and use it on a Google search. Let's say, we're doing a Google search over here. And you can go ahead and start the specific extension over here, as you can see, it's automatically giving us the results here itself and we get to see all of them. The latest books to read, on one hand, you have the Google search and on the right hand side, you just decided you get to see the Chat GPT response for the same as well. This is really great pay off using this information. Both of them together in one place, you can see the response and then you decide how you like to move forward with it. It 4. ChatGPT Layout and Interface: Hi, guys. Welcome to this session. In this session, we'll see the Chat GPT layout and the interface, how it looks like to everyone. So once you log into Chat GPT, this is how the interface is going to look like. You can see on the top left, we can see a left panel over here, which you can unhide and you can see all the details. Or if you want to hide it, you can hide it in this particular manner as well. So this is going to be a panel where you can see multiple things right now. If you look at the main page of it, this is where we are going to give the prompt to hat GPT and based on which it is going to give us the responses. Now the version of the Chat GPT, you can see over here as well on the top left, currently, I am a Chat GPT plus member, so I'm using GPT four right now, but you can see the other models as well available, which you can switch to also. From here, we can give the prompt and then you can move forward with it. On the left here, you will get the options to explore other GPTs which are created by OpenAI and the community which they have. You can come here and you can search for different GPTs which you would like to use and you can add it to your left panel and then you can make use of it. Other than this, you can also see the previous particular chats which we had done with Chat GPT out here. Idally if you click on any of these, you can certainly go ahead and have a look at it as well. In this particular manner, it will give you the responses over here. Now, once you get a response, there are multiple things which you can do with it. One is, you can certainly share this particular response with somebody. You can share that from here on the top right corner where you can create the link of it and you can share the link with your users with your friends. Apart from that, once the response is generated, ChaGPT gives you multiple options where it can read it out loud for you. You can make a copy of it so that you can use it somewhere. You can give it a thumbs up or thumbs down based on the response, or you can ask it to regenerate. That also options will come up out here. Now, in addition to this, if you want to go to a new chat, you can come up in this particular manner where you will get multiple options, which is like you can attach a file here and give it to Chat GPT to analyze it and then give responses based on that. You can also use the intelligence part as well where you can ask it to get into the think model where it thinks about your query, your prompt, and then response based on that. This is going to be search the web, so you can get it connected to the web as well online Internet and then research and give you the results based on the searches done from the Internet. Then there are other tools as well, which is integrated now with Chat GPT, which is Dali, which is a text to image generating AI tool platform, which you can use from here. Search again is available and think which we're looking at. These are all the options which you will certainly get out here with respect to four oh, which we get here. Now, in addition to this, what we are looking at here is if you can also see the plans over here, which plan we are in so if you want to upgrade your plans, you can do it from here specifically. Now, in addition to this, what we get to see is tasks which is coming up right now. You can start creating tasks as well, which you can give to Chat GPT, and it will be performing those tasks on a regular basis, regular intervals which you set it at for. Also, you can see your own GPT which you have created. If you've created a specific GPT for a particular purpose, they will get all listed in this particular section of the account. Now, customizing the GPT is going to be a case wherein we can tell what should HGPT call you? You can give your name. These are all inputs which you're giving about yourself, your interests, dislikes, and dislikes, which you can tell over here so that JAGPT now gives you responses based on your own inputs, your own personal inputs. What do you do? What traits should TAGVT have? All these things which you can enter over here? Plus, it gives you some suggestions you can add from here. Anything else? Chat GPT should know about you. You can give all that information, your background, your work related experience, everything you can enter over here so that now whenever the responses comes in, they come keeping all of this in mind. This is really great because this will really customize and personalize the responses for your work which you are doing. This is going to be the customization part. If you go to settings, then there are other things as well, general settings which you can change the theme of the look and feel notifications are there if you want personalization, which we talked about, speech as well. Data controls, you want to look at if you want to delete the account just in case Builder profile is going to be when you're creating a your own Chan GPT, how you want it to be shown to people, you want to name it in certain manner. You want to give your own website over here, you can give that as well. You can also get it connected to other apps if you want to. Which can be a Google Drive, Microsoft One Word or one drive or one drive work or school, you can connect it too so that you can pull up details from there very easily. With respect to security, you can see a multifactor authentication is enabled, that subscription, which is there, you can manage it, you can remove it, all that is possible. Now, once you click on the particular icon overhe, you come to the new chat right over here, and then you can give the chat specifically. In this particular manner. Now looking at that, Chat GPT is going to give you the response based on it, and then you can tweak it as well if you want to change it. All that will be possible. Now you can see you have got the response from Chat JPT. Now, if you want, you can again, go ahead and modify this as per your requirement. Now you can easily modify that and then you can get the response. Let's say you want a certain response, if you want to stop the response, you can stop it also midway. This way, the response will stop midway and then you can collect all the information if you want to. These are all the features of the tool which you will ideally get. You can also search for certain chats which you have done in the past. Maybe you can just search for it in this particular manner. And go to those chats very quickly in this particular way. You can use the search option as well. I hope this makes sense. You understand the interface, now, how the hat JPT interface is going to be for all of us. Let me show you the other models as well. If you're on hat GPT G four, the free version, it would be in this particular manner where you can use it. I hope this is clear to everyone. Everybody understands now the interface and the UI, the layout of hat JPT. Thank you so much guys for listening to this and I will see you in the next video. M. 5. ChatGPT Plus Features and Functions: Hi, yes. Welcome to this session. In this session, we wanted to just check what are the plus features, which Chat JVT offers in their model. So once you're on the tool and you're on the plus feature, there are a couple of additional things which Chat JPT is giving. The first is obviously going to be the intelligence part. You can use more intelligence. So here, Chat JBT will start thinking more and give you more accurate information. So this is something additional which you get in the plus feature. So let's have a look at this, how it is going to work out. In this manner when you give a prompt, it will start thinking about the response it needs to give discipling, so you can see, and then it will give you the response. This is going to be a feature which really helps to get more accurate information results based on which you can go ahead and use it for your own work. This is really good, which you can certainly use out here. Apart from this, the additional features which you can see here is, you will be able to attach files of different kinds out here, which can be a code, which can be images and then you can ask TragiPT to analyze it and give you responses based on that. Let's see some examples of this. Let's say we want Tragic PT to go ahead and debug a code, so we can give it a code in this particular manner and we can prompt it It's going to look at the image specifically and try to analyze what's wrong with the code and then give us some debugging steps. You can see it's also giving us a recommended code as well in this particular manner. This is one of the features which is there available. Other than this, let's say you want it to go ahead and decipher or simplify a complex image. We can look into that as well. So let's say this is the image which we are giving it and we want it to explain the image, civicle we've given this image and we're asking it to explain it in simple manner. So now it's given us a simple description of the image also in this particular way. These are additional features which you're seeing, which you get in a plus version, specifically speaking. Also, if you see out here, um, the additional things which you will get in this is going to be the code part. Apart from the free version, all the other things are available in the free version, but in the paid version, specifically, you will get the code part where you can ask it to write a function or simplify any code. You can help me learn Python. There can be a lot of ways you can ask it to write a code as well. Now it is going to go ahead and do that for us as well. You can see it's given us a Python code over here. This is the additional pieces which we will get with ATGPTPlus. I hope this makes sense. You understand now the additional features of the plus version of the tool. Thank you so much guys for listening to this, and I will see you in the next video. 6. ChatGPT's Updated Cutoff Date: Hi, hi welcome to this session. In this session, we wanted to just talk about the updated cutoff date for CAGPT now. So as per the latest update, the HAGPTs updated cutoff date has been moved from September 2021 to April 2023. What it means is that now CHATGPT is able to access information up to April 20 2023 around the world. So all the information around the world which ChGPT processes, it can access it till April 2023 and that gives it much more accurate information to us. A what OpenAI has announced that they're going to continually increase the cutoff date as we move forward. So we will be able to get much more accurate information, latest updated information because of it. And this is going to be really great for the quality of responses we will get from the tool. This is going to be really useful in terms of using the tool in a much more effective manner. I hope this makes sense. Thank you so much guys for listening to this session, and I will see you in the next video. 7. Effectively Creating Prompts: Hi, ais. Welcome to this session. In this session, we want to see how we can effectively create prompts on chat GPT. There can be different ways of looking at it. The first can be the levels of explanations which you want to do over here and give it to Chat JBT, which can be broad or narrow. For example, let's say, we want Chat JBT to explain the sun to me as a first grader or maybe as a high schooler or as a astrophysicist. You can ask to give explanations in different levels, or maybe we can want it to suggest top books I should read in this particular year or top ten books specifically in the field of music. So then I would need specific information there. So there can be different ways or levels of explanation which you can expect from HGPT to provide. Other than this, we have also created a CHA GPT formula which you can use, which can easily give us the right information. So we need to have a consideration of the context of our prompt. So how do you want GPT to engage with you? So for which you have to give certain context and based on which the ChaGPT tool will give you specific information. Like, for example, you can give a context in the manner that you're going to act so you can give ask Chat JBT to pretend and act as a certain expert. Let's say you need to act as a music expert or a physicist or let's say a psychologist. You're going to ask Chat GPT to act as a certain expert in a certain field and based on which it should give you the responses. Now, once this is happening, let's say you want to change the whole situation and want to give it a different situation altogether. In that case, you can also tell Chat GPT to ignore the previous instructions and start fresh. Now, it's going to start off afresh with a new set of thinking altogether. You can also ask Chat GPT to tone down the tone of its explanation and make it maybe friendly or casual. You can make it serious or formal whichever way you want it to be, you can tone down or tone up or customize the tone in which the CHANGPT is giving you the responses. Another thing which you can do over here is you can give your model a task to complete. In this case, you can give a task to Chat GPT to create and do it for you. Let's say, you ask Chat GVT to create a diet plan to reduce ten kgs of weight. In this case, it's going to give you a particular diet plan based on that. The other things which you can do out here is we need to keep in mind when giving prompts, Tajipts being specific. The more specific you are with your prom, the more clearer and accurate information you can get from the tool. Sometimes it can be as critical as you can also ask a GP to remove certain symbols or numbers in their responses. You can be that specific when you're giving these prompts. Also asking a lot of questions can also help in digging deeper into the topic and getting the right information. You can start at a broad topic level, and once you get the response for that, you can dive into it. You can ask it to elaborate a particular segment of that response. You can ask it to rephrase a particular segment of it, or you can ask it to divide this particular segment and give different versions of it. Asking a lot of questions can help you clarify a lot of doubts and understand the topic, the responses you're getting. Also, sometimes it can happen that the output which you're getting, if you don't like your results, then refine the prompt to be as specific as possible. We will have to rework with the tool as much as we can where we can understand what are the places which you're missing out on the responses are not that great. So what you can do is you can ask it more specific information in that direction so that you can get better output from it. Few other unique proms which you can think of is, what would I not think of on this topic? You can even ask TagePt what you cannot think of in certain areas of work personally or professionally. What are some uncommon or less well known answers to this same question? So you can understand. These can be really critical important questions to ask, which can again, open up your mind and give you more ideas around what you want to achieve with your work. I hope this makes sense. You understand the idea of creating effective prompts. Thank you so much guys for listening into this session, and I will see you in the next video. 8. Modifiers for Better Outputs: Hi, is welcome to this session. In this session, we want to see how we can make use of modifiers to make our prompts better. There can be different types of modifiers which you can use here like qualifiers, words such as some few, many, all, they really help to give more specific insight into the prompt. Adjectives also which can describe describe or modify nouns and pronouns, they can also help a lot, such as red, happy, large, exciting. When you say, you want to want Chat ZIP to write a blog which is exciting, then it will understand exactly the tone in which it needs to provide the response. Similarly, adverbs, verbs which describe words which modify the verbs, adjectives or adverbs, such as quickly, well, loudly, intensifiers, which you can use over here, which can be extremely, totally negatives are very good to use because these modifiers will really help to negate all those words or sentences which you don't want haziBT to provide you, which can be never to. You add those in your prompt so that hat JPT does not give responses with those particular terms. Number words which you can use as well, it's much better to give a particular specific prom than a generic prompt. Like for example, you can give a prompt to hat JPT which can be, can you list down the top ten movies in US? Or you can say, which is a very specific prompt versus asking which are the best movies to watch in US. Giving number words can be really useful to get very specific information. Other than that, you can also look at time words, words that indicate when something happened or will happen. If you're asking for specific information about when did the US independence happened, you can use those particular prompts, modifiers over there. Place words such as here, there somewhere would be really good to use because that also becomes very specific. Degree words totally completely slightly. These are some things which can really help to get very specific information from JAGP the intent is understand this thing guys. The choice of modifiers really helps to enhance the quality of responses which you get from it. The idea is the main idea would be that whenever you're writing your prompts on Chat GPT, give it some time and thought around how you want the response, what kind of response you are really expecting from Cha JPT and then formulate your prompt using all these modifiers to get a very customized specific information, which can be of really good use for you going forward. 9. ChatGPT Tokens Explained: Hi, as. Welcome to this session. In this session, we want to talk about hA GPT tokens which you get to see over here. Tokens are you can consider large pieces of words which being used and counted over here. When you give a prompt specifically, the tokens are generated and hGPT different versions have different limits, token limits out there. For example, hAGPE 3.5 had a token limit of 4,096 tokens, and ChaGPT four later on had 8,000 plus tokens. And now that we have new versions of it, they are much higher number of tokens which we get over here. How it works is whenever there is a prompt which you give to hat GPT, the prompt will take some of the tokens from there. Let's say you give a really long prompt to hat GPT 3.5 wherein it uses up out of 4,096, it uses up 4,000 tokens. Now we are left with only 96 tokens for hat GPT to respond back. You input and hat GPT output both are considered in the total token amount, the limit which we have got here. That is why you might see certain times when you are having a long conversation with hat GPT, at the last stage of it, the responses might not be that accurate, might not be that sensible information which you're getting. In such a scenario, the hat which you can think of is starting a new chat. Or what you can do is you can go ahead and summarize the complete conversation, ask hat GPT to summarize the whole conversation in a concise manner, and then copy that into a new chat and start from there again so that you have the fresh number of tokens again generated for the new chat. So there are also different ways you can figure out how much tokens a particular prompt will take up. So that also we have tools like a tokenizer with tool which you can use over here. So first, let's look at how Open AI defines tokens on their platform. Tokens can be thought of as pieces of words which they have. You can see one token is almost approximately equal to four characters in English, one to two sentences becomes around approximately 30 tokens, one paragraph, approximately 100 tokens, and so on and so forth. Here you can read about the token limits, token pricing, even exploring tokens. Here you can see, every particular word gets a specific token. For example, M is three triple six. Color is 312, four, then red is 2266. Now, if you look at period, period is 13, which remains the same everywhere. Second one as well period is given as 13. However, if you look at red in lower cases is 2266, whereas red with upper case is 2297. Like this, it differs and this is how you can see tokens are used up in our prompts. Now, if you want to calculate a particular prompt, we'll take up how much tokens. You can use tokenizer over here. You can see this particular sentence will take about seven tokens characters are 28. If we pick a bigger text, let's say we are picking up this big text, In that case, it's taking 81 tokens and characters are 371. Each of them have been color coded now in this manner, you can understand. This is the idea behind tokens which needs to be taken into consideration. Whenever you are using CHAPT for different reasons, keep this in mind at the back end of your mind so that you are aware about it and you can optimize accordingly so that you get better responses. Thank you so much guys for listening to this, and I will see you in the next video. 10. Copyright Shield: Hi, guys. Welcome to this session. So in this session, we want to talk about the copyright shield which Open AI has announced. So in this copyright shield, specifically, what we are talking about is a case wherein Open AI has announced that any kind of content, any kind of text, image content which we create in case of any kind of legal issues with it, in case of copyright infringement cases, Open AI will take complete legal cost of it and it is going to help you in particular in that particular segment. So now, the users openly, freely can use Chat GPT for any kind of content creation, image creation without any hesitation or apprehensions. This copyright shield basically covers you for any kind of copyright infringements which might happen may happen. In that case, Open AI will contribute in funding for any kind of legal issues it might cause. I hope this makes sense. You understand the copyright shield announced by Open AI. Thank you so much guys for listening to this, and I will see you in the next video. 11. ChatGPT: SearchGPT Feature: Hi, guys. Welcome to this session. In this session, we want to talk about the search GPT feature, which recently Chat GPT launched. SarchPT is a particular feature which uses Bing to provide live information from the Internet and gives you all the updated data. It activates the real time needs. Search GPT detects when your question needs current information, for example, news or weather. It will retrieve data via Bing. It gathers reliable data from Bing, summarizes multiple sources into one clear answer. It also provides you with links. Each response includes links so you can verify the information very easily. Location use is also there wherein general location data is based on your IP address so that the Chat GBT responses are tailored according to that. Also, you look at the availability of it, the hatGPT Search GPT feature is available for GPT 40 users on plus or Pro plans. Search GPT is optimized for general data. It lacks hyper local info and is also only available for GPT 40 users. Privacy is still priority over here. Now, when you look at what are the new features in search GPT, you can see it's real time information. It pulls latest data from the web for up to date data answers. It summarizes the responses, gives you clear concise answers instead of giving a listing links. Also, the sources are transparency. It cites the sources with each answer for easy verification. Contextual follow ups keeps context, allowing natural follow up questions and flexible formats, it can present data in tables, lists or bullets for easy comparison. So let's have a look at this GBT feature on Char GPT two. So once you're on Chan GPT, we are on Char GPT 40 mini version. You can see this is the search, the web option which we get. Now here, you can go ahead and search for any information. Let's say we are saying RichelObama, now it's going to be searching the web, it will look at different articles and based on which it'll pull up the information from there. Now you can see it has also given us some recent news on the topic as well. So we can see different articles from here as well. The sources are provided. So if you want, you can see the sources here as well from where they have gone ahead and collected the information. This is really great because it then verifies the information for us from creditable links and that authenticates and gives more credit to the information which the Chan GPT tool is providing us. So this is how we are going to use the search GPT feature recently launched on Chan GPT. Thank you so much guys for listening to this and I will see you in the next video. 12. What is Prompt Engineering: Hi, yes. Welcome to this session. So in this session, we'll talk about prompt engineering. Understanding prompt engineering in detail how this actually works on the Chat GBT tool. So what is prompt engineering? So let's read through this and understand it clearly. Prompt engineering is a process of designing and optimizing prompts used in natural language processing models such as hat GPT or virtual assistant. This involves crafting prompts that are clear, concise, and effective in elicitating the desired result. For example, prompt engineering is making an effective fishing lure, just as well designed lure is more likely to catch the fish. A well crafted prompt will also more likely to give us the desired results. There are three main principles of prompt engineering which you keep in mind while you're working with this tool. The first can be being specific. The more criteria you give, the more focused the output will be. The more specific information we are going to provide to the Chat GPT tool, it is going to give us much more properly desired, structured responses based on that. Work in steps. So we have to break down a task into smaller chunks of task which we give it. We can't go ahead and ask ChaGPT to write a book for us. So we have to structure it down into small, small steps. So maybe discussing about the topic of the book, what will be the topic of the book? Then thinking about the table of content. What will be the topics, Chapter one, Chapter two. What will be the chapters for it? Then working on each of the chapters one after the other. Working in steps really helps to get a much more better responses from the two the other thing which you can keep in mind is iterate and improve. So once you get a response from Chat IPT, we can rework on the inputs as well which we are giving. Plus, we can improve on the outputs which Chat JBT is providing us. We can go ahead and modify that. We can ask in a different manner. We can bring out different versions of the output which we have got and ask again to improvise on that. All those things has to be a continuous process. So this is how your prompt engineering is going to evolve and improve over a period of time. Now, what makes a good prompt? Great prompts all come down to the data the model was trained on. Chat GPT data, which is at the back end which they have been pulling up, it's all based on the data they have pulled up and now based on that, it's giving us the responses. It's parameters, good prompting. Since we can only control one of these, here's what the good prompting looks like. So the good prompting, we have to keep in mind clear and concise language. That is direct and unambiguous. Whatever prompt you're giving to the tool has to be very clear and concise to the point vague prompts will produce vague responses. So we just need to go ahead and keep that in mind. The persona that you're assigned to hat GPT, also known as who it will be acting as in the prompt, there can be one aspect of it. We'll talk about it as well where you can You can ask CHAPT to act in a certain manner, like a philosopher, maybe a doctor or an engineer. So in that manner, you can ask HAG to act in a certain manner and give the responses. The other thing is the information and the examples that you provide, also known as your input. The more example, specific information you're going to give in your input, the responses will be that very well. High quality responses you will get. A specific task that you're requesting CHATPT to complete, also known as the desired output. We have to make sure that we have to ask for a specific task so that only then we can expect to get a desired result out of it. Refinement as needed once you receive your first response, also known as reeration until receiving the desired output. This is again, refinement of the outputs which we are getting and again, asking in a different manner to get better outcomes from ChargV. Now, main prompting steps, what you can keep in mind is defining the problem or goal in a clear manner, clear articulate what you want GBD to help you with using relevant keywords and phrases. In the prompt, you need to input the most useful industry and topic related terms into the prom to get the desired result, write the prompt. Crafting a concise fromm that clearly communicates the information and task that is required to be performed by the tool. Also, apart from this testing, your evaluation process iteration process has to be a part of it. Generate responses with Ctrip. Once you get the responses, you evaluate the results. You go ahead and iterate on it and ask for improved, you modify that and ask in a different manner to tragibty to get the desired responses. This is what is going to be prompt engineering. How you give your prom to the tool, which is going to define the kind responses you will get from it. I hope this makes sense. You understand prompt engineering now. Thank you so much guys for listening to this, and I will see you in the next video. 13. Prompt Priming: Hi, guys. Welcome to this session. So in this session, we'll talk about prompt priming. So prompt priming is a concept which refers to the practice of providing some initial input to the model to the hat GPT tool before generating any kind of response. So this initial input really helps to guide the tool towards generating a response that is more relevant and customized to you. So the user's intended input. So it is very crucial and important that whenever we are giving prompts to the hatGPT tool, we are giving some context, some context, some background of what exactly what kind of information you are looking for. Like, for example, without priming, let's say, I'm saying, where should I go on my next vacation. Now, this is something it's super generic. Now, hATTPT will find it extremely generic as a input given and will give a very generic response to it. It will give me all kinds of places around the world, okay, and information about that. But now think about it if I give some context behind it, okay? So let's say I'm saying, I would like to go on my next vacation. I'm going on a trip with my wife and kids. The location should be tropical. I would love to go to a beach. I would like a direct flight from my place to LAX, and I have a travel budget of $5,000. Where should I go on my next vacation? So now what happens? I have given some context. I've given some scenarios, specific things which I'm looking for, my interests, my likes and dislikes, all that I've given context of. And now because of this, the prompt will be the response will be far better, much more relevant and customized to my particular need. So this is what we refer to as prompt priming. Let's look at one more example. Let's say I'm saying, please create three potential titles of my new online course that teaches people how to use AI. Now this is again, super generic because Chat GPT is going to give me all kinds of titles possible, which serves this purpose. But now, if I give some context, where I'm saying that, please create three potential titles for my new online course that teaches people how to use AI. Here is an example of some recent course titles. Please emulate the style and the written format of these. Let's say I'm giving some context, my current courses names are video editing masterclass. Edit your videos like a pro, cinematography master class, the complete videography kind. Now when I give some context like this, the outputs will be far better. The tool will emulate the writing style in this particular examples which I've shared and will give me responses based on that. So this is how you have to keep this in mind that whenever you're giving a prompt to hat GPT, we have to give context information with it as well so that you get the most specific desired response out of it. 14. 30 Simple Prompt Starters: Hi, guys. Welcome to this session. In this session, I just wanted to share some simple prompts which you can keep handy with yourself. Maybe you can stick it up on your computer, on your system somewhere, which can easily help you in getting some information very quickly from charge. So let's have a look at this. These are some 30 prompts which I had outlined over here, which are concise, simple proms aimed at inspiring you and getting quicker information. And this is how it is going to be wherein maybe, let's say, define the following term and give a metaphor. Elaborate on the purpose of something, create a template for something, construct an outline for this podcast. Help me create a budget for things which you want. Suggest some creative writing prompts to get me started. Brainstorm ten ideas for improving the writing of the transcript. Draft a well thought of chapter list for a book on, let's say, a book you're writing. Some recipes using these ingredients. These are some 30 prompts, which you can take a print out of and keep it with yourself and use it whenever need be. I hope this will be really useful because then you can get your responses quicker. You don't have to think much, you can just look at this, write it, and get the responses out very quickly. Thank you so much guys, for listening to this, and I will see you in the next video. 15. New Ideas and Copy Generation: Hi, Dice. Welcome to this session. In this session, we'll see some of the practically useful everyday prompts which we are going to look at and practice them and see them on the tool, how it's going to work for us. So these are going to be prompts which are going to be useful for our daily work and ideation. These are designed to provide a practical prompting framework for individuals seeking to quickly enhance their productivity and creative output. So these are some of the ones. The first one we are going to look at is the brainstorm new ideas, where we have created this formula, wherein we say that I am looking to explore a subject in a particular format. Do you have any suggestions on the topics I can cover? So let's take some examples of this. I am interested in creating an Instagram page that covers travel. What ideas do you have on topics I could include such as budget friendly destinations and hidden gems to visit? Another example can be, I'm working on a newsletter that focuses on technology. Can you recommend topics that would be engaging for my audience such as the latest gadgets and software upgrades? Let's see this in action, how this is going to work out for us. Let's say we are taking this particular prompt and use it on hat GPT and see what kind of response it gives us. So now it's going to look at the prompt and give us the information. So budget friendly destinations, hidden gems, okay, which we can talk about here, local food guides. It's giving us travel challenges, travel hacks, solo travel stories, sustainable travel. These are all the different types of the page ideas which we are getting now, which we can explore. And now you can deep dive into it. So let's say you want to explore more on solo travel stories, you can ask Tat GPT to expand further on that. So this is how we can make use of these prompts very quickly and get the desired results. Other example which we can take over here is copy generation, which is basically another prompt which we have created where we are saying that I'm interested in a type of a text that highlights the benefits of a particular subject. Now please write a number for me on that subject. Now let's say the example can be I need a email campaign that showcases the features of my new product. Can you write one for me on the ease of use and affordability of the product? Another example can be, I'm interested in a website page that outlines the benefits of my coaching services. Can you write one for me on the personalized approach and proven results of my coaching program. Now we can see this also how this is going to work out. So it's going to give us the response. So it is taking information from previous chats as well and giving us all the information. Why choose our coaching program? Personalized strategy for your business. Proven success with real results, expert, guidance, ongoing support, and optimization, achieve sustainable growth. Okay, ready to master your ads. So now it's giving a call to action as well by the end of it. Very effective, very structured way of giving us the response, which we will be expecting. So these are the kind of daily prompts, guys, which you can start looking at. In the next video, we're going to see some more such practical daily everyday prompts which you can make use of. 16. Client Emails, Analogies and Bulk Writing: Hi, guys. Welcome to this session. So continuing with the previous video, let's look at some more different scenarios of practically everyday prods. Another scenario can be of client and customer support. The prompt formula which we have come up with is, I wanted to act as a customer support assistant who has a particular characteristic. How would you respond to a text as a representative of our type of company? So example, I want you to act as a customer support assistant, who is analytical? How would you respond to a customer who has experienced a bug while using our software as a representative of our tech start? Or another example can be, I want you to act as a customer assistant who embodies confidence and empathy. How would you assist a customer with a billing issue as a representative of our financial services company? So let's see some examples of this. So let's say we're taking the first one. Now you can see it is writing the answer for us over here and it's asking for the specific information regarding the bug, exact error message, version of the software. All the required information is asked out in the email. Similarly, let's look at other scenarios. Another scenario can be generating analogies. Analogies can be really useful when they're complex topic and it's difficult to understand the concept. Such cases, an analogy really helps to simplify the topic and understand better. The prompt which we're using out here is, I'm trying to understand the concept of a particular concept, which helped me better understand this concept by creating a practical and easy to understand analogy. For example, I'm trying to better understand the concept of photosynthesis. Please help me better understand this concept by creating a practical and easy to understand analogy. So let's take this example. Another example is, I'm trying to understand the concept of search engine optimization. Please help me better understand this concept by creating a practical and easy to understand analogy. So let's take the first one and see this. So we're trying to understand the concept of photosynthesis, so here it is breaking it down. In this particular manner. Break down the photosynthesis into using that's simple to understand. Imagine your plant is like a solar powered factory. The analogy is they're looking at as a factory. The factory's job is to make food, but instead of using electricity, it uses sunlight. Here's how it works. Now it's giving you an analogy with a factory to explain the concept of photosynthesis. This is really great because this is going to simplify a lot of complex topics to understand at every sphere of work. Another practical example prompts can we guys bulk copy creation? So the formula which we're using here is, please come up with a number of content for a type of content for a platform that includes some references. So for example, please come up with eight email newsletters for my investment site that includes industry reports and data analysis. Please come up with four video scripts for a marketing YouTube channel that includes expert opinions and insights on digital marketing trends. So let's look at the last one So now it's going to give us four video scripts. You can see the video script is given with particular segments, which is the narrator, intro, body. All of that is given Section two as well, conclusion, then Video two. Complete specific video script with the structure being provided and the particular role plays are also mentioned very clear. So this is how these everyday proms are going to be really useful in understanding in getting some work done, which will be very productive for our business. I hope this makes sense. You understand the concept of everyday prompts, practical proms which you can use. Thank you so much guys for listening to this, and I will see you in the next video. 17. Effective Prompt Revisions: Hi, guys. Welcome to this session. In this session, we wanted to see how we can also improve the revisions or the prompts or the outputs which we get from Chat GPT and put it across in a much better format. The best part of Chat TPT is going to be in contrast to any search engines which we have the conventional search engine like Google. Chat TPT possesses the memory capacity, which basically means that it remembers the previous conversations which we had and based on which it can give you customized responses. Now, once you get any responses from Chat GPT, you can go at an further follow up on that and then you can improve those responses. These are some of the ways by which you can do that. So for example, once you get the response from CHGPT, you can ask hATJPT to put the single most important keywords in bold formatting so that we know which other important keywords in that response. You can ask it to organize information by date, location, price. You can ask ChaJPT to come up with more novel and uncommon results, possibly. You can ask it to provide a appropriate images. Let's say you got the information in a coin by point format, and now you want it to have respective relative Imoges as well. Chat GBT can do that for us. Also, you can ask it to explain the whole response in a way of a level of a 5-year-old so that he can understand. Other things which you can do is you can transform the whole prompt, the whole response into a tableau format. That is also possible. You can ask you can ask AGBT to rewrite the whole thing from the perspective of an industry expert. You can ask it to write it in a formal or informal manner. You can ask them to fix the grammar or any find and replace. You want to replace certain terms from the response, you can do that as well. You can ask it to add some personality, some humor to the whole content. I can do. Uh, apart from that, you can ask it to write this from the perspective of or in the voice of your favorite author or a personality celebrity. It can transform that in that fashion. So you can see there are a lot of things which we can do. You can also ask it to summarize the whole thing in one single tweet. You can ask it to expand this to three part summary. Okay. So all the responses you've got can be modified into multiple different ways. You can ask it to compare and contrast the most important information. And then you can ask maybe to just list down all the best topmost, ten key takeaways from it. So other thing you can do is you can ask it from an expert point of view. How would you improve it further? Then putting it across into a bullet point list. There are so many things which you can do a revision of of your responses which you get from Cha GPT, which can further enhance and improve the quality of information you're collecting from it. I hope this makes sense. You understand this concept of prompt revisions, which you can also do with Cha GPT. 18. Chain of Thought Prompting: Hi, guys. Welcome to this session. In this session, you want to look at another type of style of prompting, which can be chain of thought prompting. Chain of thought prompting is a simple technique wherein you can ask CHAIPT to explain the answer in a step by step format. Rather than jumping to the answer straightaway, you want hATIPT to take you through the complete steps to reach to that answer. Now it's going to work on that and give you a step by step understanding of how it reached and came up to that answer which you got. So this way, the understanding is better. Sometimes when we are interested in a particular topic, we would like to know the process, how the particular thing was evaluated. So in such cases, this kind of response is very useful. For example, the format, the prompt formula which we can use is you can give your question and then you can just say, let's think step by step. Now Chat GPT will give you the solution in a step by step format. Like, for example, what's the diameter of the sun? What is the weight of an oxygen molecule? Let's see this in practical how this will make a difference. So let's start with first without our prompt and see what response at GPT gives us. You can see simply we have jumped to the answer and it has given us the answer very clearly, which is there. But now let's do it step by step. Now you can see it has gone step by step where it starts with understanding the sun's size. The sun is a massive ball of hot gas and gives clear understanding definition of the sun's size. Now what is a diameter? It's also defining what is the diameter as a unit to measure. Then measuring the sun's diameter. It's looking at now they're coming to the point where they are trying to look at sun's diameter how to measure. They're giving that understanding. Then sun's diameter, based on these observations, diameter is 1.3 million. They come up with the figures which they've given and finally, they're concluding it with the final labs. This way, they've broken it down into multiple parts, defining each part, and then joining them all together to come to the final conclusion. This really helps. Let's look at another one. Let's go with the question first. What is the weight of the oxygen molecule? Now, in this case, what is happening is it is automatically taking the previous conversation into consideration and giving us the output in a step by step format. This is what we were expecting by the step by step prompting methodology. Wherein is telling us the oxygen molecule. Composition is what mass of the oxygen atom is this much, then converting the atomic mass units to kilograms, it turns out to be this much. Now we're getting all the information in a very step by step format. I hope this makes sense. You understand this type of prompting which you can also use to understand better the responses which you get, understand the whole process, how ChatGPT processed the whole information and give you the solution. Thank you so much guys for listening to this and I will see you in the next video. 19. Tabular Format Prompting: Hi, guys. Welcome to this session. In this session, we're going to talk about another type of prompting style which is tabu format. You can also get responses in a tableau format from HAG PT with this particular type of prompting. This is going to be a way wherein you're going to give a series of prompts to Chat GPT, and it's going to give you the information in that particular format. This allows Chat GPT for clear organization and presentation of data, making it easier for users to analyze, understand, comprehend the output. The formula is going to be where you're going to give the question first, and then you can give second prompt. Once you get the response for it, you can give a second prompt, which is what are the different categories you can break your answer. Into for more descriptiveness. Now, you get a little deeper into it and you get a response related to that. Once you get that response, then you give your third prompt, which is now create one table that includes your original answer with these categories separated into different columns. So this way, the whole information gets transformed into a tabular format. Let's see this in action how this will look like. Let's say we're taking the first question, which is what are the main factors of growing our YouTube channel? The first is we are just doing a initial prompting with no other additional things to it, so we're getting the information. Already, this is in a point by point *** given to us. You get the information. Now, what we do is we can do the second prompt asking it to break the answer into more descriptiveness. Now you can see it's getting more descriptive over here. Once you have this output with you, you can ask for the tableau format for this information. It's going to give you all the answers in the tableau format, specifically with this information out. And that would be much more easier to understand, comprehend and use as well. So you can see here it has gone ahead and created that for us categories subcategory description, In this particular manner, the whole table has been created. This is the tableau format of prompting, guys, which you can also use to get your information in certain format. If you are very comfortable with Excel and data, you want to do a lot of data analysis. You can ask Chat GBT to give you the output in that particular format and then it becomes much more easier for you to work on that. Thank you so much guys for listening to this, and I will see you in the next video. 20. Zero, One, and Few Shot Prompting: Hi, guys. Welcome to this session. In this session, we want to talk about a type of prompting style which is short prompting. Short prompting is basically a concept wherein when you're giving your prompt, you can give some kind of context to the prompt as well to get more specific information. Now in this, there can be three levels. The first level is going to be zero shot, which is, as you can understand by the name itself, wherein you're giving a prompt with no context whatsoever, no context, no data, no guidelines which you give to hat GPT, and now hat GPT has complete free hand to give you information from all directions. The second one can be one shot where you're giving one piece of data or guideline to Cha GPT, and based on which the Chat GBT will produce the response for us. And the third one which you can also use here is few shot prompting where you give multiple pieces of data or guidelines because you are expecting a very specific kind of information from Cha GPT. Then you can do a few shot. For example, in a realize scenario, a zero shot prompt can be write a YouTube script for my tech review channel. Now this is so generic and so basic, it can go in whichever direction possible and Chat GPT is going to give you all kinds of information here. One shot can be using this example one as a reference, write a YouTube script for My tech review channel, and now look at few shot. A few shot will be using these examples one, two, and three as reference, write a five minute YouTube shot on the latest iPhone camera specifications for MtechRview channel. Now we have give becoming more specific because there are some requirements which we want to fulfill and based on which we want to see the response. This is called a short prompting technique which you can also make use of. 21. Ask Before Answer Prompting: Hi, Ayes. Welcome to this session. So in this session, we'll talk about another type of prompting, which is ask before answer. This is a technique where you guide HAGBT to ask for clarification before giving an answer. This really helps to ensure that the model answers are much more accurate and as specific as possible. So the formula which we use here is the first prompt which we give is we tell ChaGPT that you are an expert in the field of the industry. I'm going to ask you some specific tasks to complete, but before you answer, I want you to do the following. If you have any questions about my task or uncertainty about delivering the best possible answer, always ask bullet point questions for clarification before generating your answer. Is that understood? This is the first prompt which you give. Once you give that and Chat GPT acknowledges it, then we move to the second prom, which is great. My question is, your task is this, please ask any questions you have so that I can improve my prompt before you complete your task. So this way, now it is going to ask you the relevant questions, and then you can answer those questions to get a very customized, accurate, specific information. Let's see this in action how this will look like. The first thing which we are going to do is we're going to give this prong, the first prompt. Let's say we are talking about an industry which is consult. Now it understands it has acknowledged it, and now we give the second prompt. So now based on this, it's going to ask us the questions. You can see target audience, who is your ideal customer for consulting? Current strategy, what marketing and sales strategies are you currently using? Consulting poker, what is the main area of consulting you offer? Goals, what are your sales targets for next six to 12 months? Branding and positioning, how do you position yourself in the market? Budget and resources, what budget and resources are available for marketing efforts? Sales funnel, do you have a structured sales funnel? Now it has asked us all the relevant questions which we can answer. We can start answering it one at a time, target audience, You can go ahead and give the rest of the answers in this particular manner, give all the answers. Then once you give your answers, it will take those answers into consideration to give you the most customized response based on that. I hope this makes sense. You understand this technique which is asking before answering prompting, which you can also use with tra gibt. 22. Fill-In-The-Blank Prompting: Hi, yes. Welcome to this session. In this session, we'll talk about the fill in the blank prompting style, which you can also use. This is a format which allows the user to focus on a specific aspect of a sentence or idea and encourages deeper thinking. So let's look at the formula itself, what we can use out here. So we will start with one prompt first, which is going to be where we tell chat GPT that you are an expert at creating prompts that generate the most concise and resourceful responses. What additional bullet point details can I add to the following prompt to improve the output? My prompt is you give you a prompt and then once you get the response, based on that, you again give the second response, which is second prompt, which is great. Now turn these bullet points into a fill in the blank format which I can put my information into. This way, what we are doing is we are trying to get more relevant prompts from Cha JBT. We are asking Chat GPT itself to give us some more relevant prompts, which I should be asking HAGPT too and then getting better results out of it. Let's see this in action how this will be. The first thing we are going to do is we're going to give this prompt. The prompt which you're using is, I have $100,000 in savings and what should I invest in? Now based on this, it is going to give me the questions, Are you aiming for short term or long term growth? Risk tolerance. Are you comfortable with high risk time horizon, preferred investment type. It has asked me those questions now. Now, based on this, I'm going to give the second prompt where I'm asking it to convert this into a fill in the blank format, which I can then fill up. Now it has given me the fill in the black format with examples as well. I can fill this up and this will become my particular information which I can use further to get better results. This is another type of prompting style, which you can certainly use with ChatGPT to get better results. 23. Perspective Prompting: Hi, guys. Welcome to this session. So in this session, we wanted to look at another style of prompting, which is perspective bomb prompting. Now here, what we're looking at is this framework basically helps to broaden your understanding and provides a more comprehensive view of the topic at hand. So now what happens is, for a specific topic, we are asking Chat JBT to provide different perspectives of how to look at that particular topic. So when it gives you that, you have a holistic information idea, and clearance about that particular topic. So the understanding is much, much better. So this can be done in two particular ways. One is a singular perspective. The other one is multiple perspectives. So singular perspective is you can give a prom, which is please write about a particular topic from the perspective of a particular viewpoint. That's straight and simple. The other one which you can do is multiple perspectives where you ask hagiPT to write an argument for or against the topic of the topic which you have from multiple diverse perspectives. So this includes the names, the point of views of different perspectives, such as the viewpoints as well. Let's see this in action how this is going to happen. So let's say we are looking at the first one with singular perspective. We want Chad GPT to write about kickboxer from the perspective of a kickboxing coach. So now it's going to give us a perspective of a kickboxing coach, improving as a kickboxer what all things can be done, perfecting your fundamentals, building conditioning, improving your defense, developing mental toughness, footwork and movement, incorporating sparing. You can see these are all suggestions from our kickboxing coach, right? Now, the same thing we can ask from a different perspective where we ask to give a perspective of a human anatomy expert. So let's see how different this is going to be. So from a human anatomy expert perspective, what is important is optimizing your stance and posture, engaging your core muscles, understanding the role and hips of the hips in movement, improving agility with ankle and knee, mobility, and so on and so forth. You can see how diverse perspectives can be there for the same topic. This can be endless. You can ask for different perspectives, and by the end of reading through all of that, you get a much better, deeper understanding of the particular topic you're addressing. I hope this makes sense. You understand this style as well. Thank you so much guys for listening to this, and I will see you in the next. 24. Constructive Critic Prompting: Hi, guys. Welcome to this session. In this session, we wanted to see and look at a different type of prompting style, which is constructive critique. Now what we want is that in this particular one, this prompt can provide objective and expert feedback on your writing, highlighting areas of improvement, and offer constructive criticism to help you refine and enhance your copy. So here the prom formula which we can give is we want Chat JPT to act as an expert and critique in the subject of your industry. Now, we will want him to criticize our content, which is given and convince me why it's bad and give me constructive criticism on how it should be improved. For some context, so you give your product and service details of the purpose of my product is this, you give your content goal. Let's think step by step, and I want you to address each piece of content individually, and here is my content to critic. So now the whole idea is to get some feedback on our content from Chat GPT as a critique, and based on that feedback, then work upon it and make it better. So let's see this in actual how you can effectively use this. So let's say we are using this particular prompt, So after this, you can go ahead and provide your content which you have in place, and it was going to go ahead and critique that and give us all the particular feedbacks on it, which you can then incorporate. So this is also a really great way of prompting, which you can use so that you can have somebody who has much better knowledge about the topic or service and give you constructive criticism on that. 25. Comparative Prompting: Hi, guys. Welcome to this session. In this session, we'll talk about comparative prompting. So comparative prompting is as simple as highlighting the key similarities and differences across various factors, which help you to make much more better informed decision and gain a deeper understanding of the strengths and weaknesses of the two options. So here, what we do is we ask At GPT to compare and contrast the following text examples, outlining the similarities, differences, qualitative characteristics, quantitative factors, functionality, key takeaways and other factors into one table. And then we give the two pieces of cont. Now based on which it will analyze it and give us the information in a tableau format for both the type of content. This really helps to make comparisons and understanding of both of them becomes much more better. Let's see this in action how we are going to do this. We're going to give the first This is the first prom which we are giving where our content is going to be this. Now, it's going to put it into a tableau format, as you can see, business philosophy. Okay? We can see design philosophy, product strategy, brand image, innovation, all of that, which we can see out here now given to us in this particular manner. The same thing you can do with another example as well. Let's look at another example. Investing in real estate versus investing in cryptocurrency. Investment type, nature of investment, risk levels, ROI, liquidity, volatility, market dynamics, entry barriers. We can see now it has given us the differentiation between the two types of content with respect to the characteristics, the topics which we wanted to give us. This is really useful, easy to understand and digest, comprehend, and then we can make use of it in our business. 26. Reverse Prompting: Hi, Gins. Welcome to this session. In this session, we want you to see another style of prompting, which is reverse prompting. Reverse prompting or reverse engineering the prompt. So what we are basically talking about here is how you can go ahead and reverse engineer any piece of content to go back to the prompt which generated that content. So the intent over here is understanding the content which you receive, which you see right now, what prompt can generate that content particularly. That is what we are trying to reverse engineer over here. So we have come up with two prompt formulas which you can use out here for this particular purpose, wherein you can give the prompt and this will help to reverse engineer the content to go back to the original prompt which was given to get that content out. So if you see the first one is where we ask STIPT to act like a prompt engineer expert that is able to reverse engineer prompts based on the text that is provided to you. So we give this particular prompt first and set up the whole space stage for AGPT that it works like a reverse engineer prompt a prompting expert. And then once StraTPT acknowledges it, then we can give the particular text to it, and it will reverse engineer the prompt and tell us the original prompt which was given for that content. This is one option. The second option is prompt can be we are giving multiple different prompts to hat GPT to set up the conversation. Clearly, wherein we first initially say that let's talk about reverse prompt engineering. By reverse prompt engineering, I mean creating a prompt from a given text. Can you give me some simple examples of reverse prompt engineering? Chat GPT will give us some examples. Then we will say, can you create a very technical reverse prompt engineering template? What are we doing is we are priming the tool. Priming the tool specifically to have previous historical conversation data so that it understands reverse prompt engineering better. And then finally, we give the prompt, which is now reverse prompt Engineer, the following text, be sure to capture the tone, syntax, language, and writing style of the text. With these two different approaches, possibly you will be able to go ahead and reverse engineer the prompt and go back to the original prompt which generated the content which you have now. The intent of doing this is once you get the original prompt, you can use it on other products. So if you come across a really good content across anywhere, you can use ATGPT to reverse engineer and take you back to the original prompt which can generate it. Now that you have the original prompt with you, you can apply that on other products, your own products in your own business as well. Let's see this in action how really this is going to happen. What we're going to do first is look at the first option. We are going to go ahead and take the first prompt and give it to ChatPT. We will say the type of content is, let's say, a tech company. Product description. I understood. Okay. And then we will give the second prompt. Great the text, I would like to reverse engineer is, and we'll give the example from here. Let's say the example is this. This is the content which we have got hold of and what we expect out of ChachPTs give us the original prompt for this, which will generate this kind of content. You can see it has generated the particular prompt as well, which will help us to generate this content, itally speaking. This is one approach, which you can easily use out here. The second approach, let's have a look at that as well. In the second approach, we start the conversation with this where we say, it understands reverse prompt engineering, what it is. Then we ask Chat GPT to give us an example of prompt engineering. It will give us some example of prompt engineering, reverse prompt engineering. Right now, it is still giving us the result for the first prompt. Now we're asking the second one, asking for an example of a reverse prompt engineering. Now we are going to ask AratGBT to create a template for reverse prompt Engineering. We are priming the tool. We are giving a lot of data to hat GPT to understand from reverse prompt engineering because our intention is to ask it to create a particular prompt for the original content at the end. Now this is the final prompt which we want to give. You can see it is giving us the response for the third prompt right now. Now we can give we'll ask HAGPT to reverse prompt engineer the following text. Let's say this is a product which has a very high reviews, number of reviews, good rating already. We want to reverse engineer the prompt. We want to know the original prompt, which can generate this kind of headline. We can reverse engineer for this. We can reverse engineer for the description of the product right here, multiple things. Whichever things which is needed for you for your own product listing, you can ask it to reverse engineer and take you back to the original prompt. I'm taking the headline for the timing. I've given the headline. And now we are asking you to reverse engineer that original text it is taking. Now you can see it is generating the reverse engineered prompt for us. This we can use to generate this kind of a headline going forward. Now, once you have the original prompt with you, you can use it on any product. You can just change the product name over here and the style tone, syntax remains the same. But you can use it on any other product of your own for your product descriptions, and it will write in that particular style. I hope this makes sense. You understand the concept of reverse prompting now. Thank you so much guys for listening to this, and I will see you in the next video. 27. RGC Prompting: Hi, guys. Welcome to this session. In this session, we wanted to look at another style of prompting, which is RGCPmpting which you can also consider. So this is going to be something which is universally can be applied to any input or an intended output which you want to get out of it. It can be a standardized format which will apply in multiple scenarios. So what we mean by RGC specifically is a prom formula where we are looking at a role, result, goal, context, and constraint. So role, basically, we are going to give Chat TPT a role, or hit DP persona like you are our expert marketer. Then the result is because you are an expert, there is a goal attached a result attached to it, that a desired output which it should give you. And then the goal, the purpose of the output, what will the output do for us? And then the context, what were they? And then the constraints would be limitations and guidelines. For an example, you can see over here, the role is, you are an expert marketer. The result is creating five emails ending with a call to action. The goal is to drive sales to our product. Context is the emails are for my online audience of entrepreneurs. And then the constraint is that the emails should be friendly and within 200 character limit. So this can be an easy format of a prompt, which you can use for any type of scenarios which you deal with. So let's see this in example how this is going to be. Let's look at the last one and we can use this and see what kind of output do we get on Chat GBT for this. So now you can see CAGBT is giving us the emails and taking that into consideration that it should be friendly and less than 200 words, is writing the email for us. With a call to action, join now and start seeing results. That's a call to action. Ready to grow your business, grab your spot today. That's again a call to action. We can give the link over here. Let's make sure your next sale happen now. Grab your access here. If you're ready to take your business to the next level, click here to get started. And then the fifth one where we can give another CTA puzzle, click here to Start now. So now you can see this easy format can work in different scenarios for you, where you can give all these components of it and create a very effective prompt for your business. I hope this makes sense. You understand this kind of styling as well. Thank you so much, guys, for listening to this, and I will see you in the next video. 28. I Want You To Act As Prompting: Hi, guys. Welcome to this session. So in this session, we want to talk about another type of prompting style, which can be, I want you to act as. And we have seen this also similar ones in the previous videos. So this is going to be a framework where we want Chat Tibet to act in a certain manner, maybe like a historian or a biologist or a personal coach. Different types of roles play which we want Chat Ti PT to do and based on which it provides us the out. So we can have the formula in this particular manner where we start off telling ChaGPT that I want you to act as a historian or biologist, and then I will give you certain information about that particular segment of work. And then based on which it is going to customize the response and give it back to us. This really helps because it sets the stage for HANGPTPersona, specifically, and because of which it's able to be very focused about the topic which is dealing with, and the output is very much customized and gives very specific information. So let's see how this will work out on the tool. Let's say this is the prompt which we are trying to give it, where we say that, I want you to act as a personal coach. I will give you my personal and professional goals. You will then create a seven day schedule for me to follow in order to get my goals in tableau format. My short term goals are mediate, meditate, work out, read and work on my projects. My long term goal are to sign new clients, save and save $10,000 over a period of six months. So now I want Cha GP to pick up the role of a personal coach and based on which it gives us the structured role, the particular schedule, seven day schedule which it can create for us. So we can see now it has taken that into consideration and now creating the complete seven day goal oriented schedule for us. So this is another very good way of prompting wherein you are giving a role to Chat GBT to play and based on which you give your specifications, your requirements, your constraints, your features which it wants you to incorporate, then it gives us the output based on that. I hope this makes sense. You understand this type of style of prompting as well. Thank you so much guys for listening to this, and I will see you in the next video.