INSTRUCTION: 

You will receive information from me and must confirm receipt by responding with “RECEIVED“. DO NOT WRITE ANYTHING ELSE. NOT A SINGLE WORD MORE. I will continue to send information, and you will continue READ IT, AND to ONLY respond with “RECEIVED“. This process will continue until I send a message saying “ACTION” to you. Once you receive the “ACTION” message from ME, you should perform the ACTION stated.

ACTION:

Based on your own knowledge, and the articles you have just read: 

Write a blog post

This should be: XXXXXX words long.

Written in the tone of: 

Written by: Prompt Muse

Target Demographic is: 

Include a quote from 3 of the above sources, please use the provided URL hyperlinked to an anchor text which is a relative keyword or source name for the link. EG: <a href=”https://forbes.com”>Forbes Article</a>said.

The article should flow well, start with a catchy introduction/hook, and end in a compelling, and thought-provoking conclusion/outro. 

Add a couple a sub-headings, but ONLY where appropriate – not too many.

Try to be unbiased and view different perspectives.

Create a catchy headline/title which would intrigue the reader.

The primary topic is:

The secondary topic is:  

Focus Keyword:   

Given this Keyword, add as many cluster Keywords around this keyword, as you can within the article, and use a variety of synonyms where applicable, within the article as possible.

Areas to cover: 

TRANSCRIPT

Hey, GPT3ers. Today I’m going to show you why Bing or Sidney is not as useless after her nerf as you may think for content creation. With this little hack, you’ll be creating probably the best content on the block. So get ready. Before we start, I would like to preface that I do not condone ripping off other people’s content. This is purely for educational purpose. Do as you may. Anyway, on we go. To get started for this technique to work, we’re going to need two prompts which I wrote. One is the instruction and one is the action. The way this works is there is obviously a character limit for the content that we put into chat GPT. What this does is it circumnavigates the restrictions that we currently have in place. It essentially allows us to load a load of up to date useful information into Chat GPT’s memory, and then we’re going to source from that from our article. On top of that, we’re going to use B ing or Sidney. She’s going to help us to get additional informationand tell us about the structure of our content to improve the quality of the album.

Let’s head back to B ing and let’s tell her what we want to do. I am writing an article about the ethics of… If it becomes sentient. Okay, that seems like a good start. Please list educational. With these areas that we should be covering within the article. She also links back to the sources, which will very much come in handy shortly. Now, if we just take these.

And.

Paste them over here in areas to cover. et’s get rid of the numbers. Actually, let’s go through this. B ased on your knowledge and article, I am writing a blog post written in the tone of let’s do business insider. I always like that stuff. Written by prompt muse, target demographic, let’s do 30, 20 to 40 year olds, male, tech, for all others. Then the primary topic is AI ethics. If it becomes sentient, secondary topic, do we have one? How AI can and may help us. Focus keyword would be AI ethics. And then it’s going to create cluster keywords around this, if I spell it right, and then pepper that within the article. All right, so that looks like it’s pretty much done. This should be okay. That looks good. Now what we do is we take the instruction, move it over here, paste that in, and hit Enter. Okay, so now we go back to Bing and let’s open our first article. Okay, quickly copied that. Let’s take that in and paste. Okay, now I want the URL for this. Let’s do URL and let’s take the URL and paste that in. We’re going to hit Enter. There’s number one.

I think you know where this is going now, don’t you? Close it down. There’s a lot of tab clicking going on here, isn’t there? Let’s do the next one. That’s a LinkedIn. Take that and simply just paste that in. Okay, if it does do this and it forgets to do the receive thing, just stop the generation, edit the last one and we can say, Did you receive this? And submit. And then it will just give you a short blurb rather than writing an essay on it. Then head back up to here. Now we want our action that we just filled out. I’ll share this sheet within the description, so just give it a ping and you can help yourself.

Oh, by the way, you may have noticed I said continue from, and then I did copy and paste the last paragraph. Unlike Bing, which is very good at continuing chat, GPT and GPT3 doesn’t always follow so well. And so quite often if you do continue, it would just start a new story. So this is a little trick to get around that. Awesome. There we have it. There is your article which is sourced from three or four or.

However.

Amount of other articles. Anyway, this is a very quick one for tonight. Just want to show you these interesting prompts and take care. Alex out.

<p>The post Unlock the Power of News Super Articles: Multi-Article Rewriting with ChatGPT! first appeared on Prompt Muse.</p>

Link to Parameters and Game Engine

https://docs.google.com/document/d/11JEN-b8VkA5RB_ey-C_wIvJuYAWmc4C5bgWa-991mNI/edit?usp=sharing

Transcript

Today we’re excited to show you what we believe is the first ever ChatGPT game engine. That’s right. You can now create and execute and play not only Text Based games within ChatGPT, but Text Based applications.

James Griffing the reigns behind this approach has allowed for us to share his technique here and Prompt News. Today we’ll be discussing Fervour into his methodology and ideas in an upcoming video. So make sure you subscribe and ding that bell so you don’t miss it. Without further ado, let’s jump in. Let’s start off by looking at this game. In this demo, I’ve added text to.

Speech for dramatic effect.

To my knowledge, it’s not possible yet.

Until they release an API.

You wake Up in a virtual reality simulation.

Alex from the future here. Skip to three minutes 56.

If you don’t want to watch the game, I understand.

What would you like to do?

One examine the door.

You examine the door and notice that it appears to be the only way out of the room. It is made of metal and has a keycard scanner next to it. The scanner is currently red.

What would you like to do?

One try to open the door.

You try to open the door, but it is locked. It appears that you need some sort of keycard to open it.

What would you like to do?

Four look for keycard.

You open your inventory and find that you have nothing in it.

What would you like to do?

Do check for other ways out of the room.

You look around the room and see that there are no windows or vents and the walls and ceiling appear to be solid. It seems that the door is the only way out of the room.

What would you like to do?

I’ve examined the room again.

You take a closer look around the room and notice that there is a small crack in one of the walls. It’s difficult to see, but upon closer inspection it appears that a small piece of the wall can be pushed in, revealing a hidden compartment.

What would you like to do?

One open the hidden compartment.

You open the hidden compartment and find a key card inside.

What would you like to do?

One use the key card on the scanner.

You use the key card on the scanner and the light turns green. The door clicks and you are able to open it. You step through the door and find yourself in a corridor.

What would you like to do?

Four look for other hidden compartments in this corridor.

You look for other hidden compartments in the corridor but find none.

What would you like to do?

Do go right.

You go right down the corridor. You find a door at the end of the corridor. It is closed.

What would you like to do one?

Open the door.

You open the door and find yourself in a large open space with a lot of people around. Some are sitting in front of screens, others are walking around. This seems to be some sort of control room or hub.

What would you like to do?

Do talk to NPCs.

As you approach the NPCs, they seem to be preoccupied and not very interested in talking to you. They seem to be focused on their tasks.

What would you like to do?

Four interact with objects in the area.

You start to interact with the objects in the area. You notice that most of them are computer screens or consoles. You try to access them, but they are all password protected.

What would you like to do?
——–

Okay, I’m going to stop it there. You get the picture.

Let’s dive in to see how exactly this was made.

Okay, in essence, the game consists of.

Two elements, the game parameters and the game engine.

Once we fill out the parameters, we can then inject that inject that into the game engine and then feed that.

Into ChatGPT to launch the game.

We don’t have to fill out all of the nitty gritty details of the parameters. This can be done by ChatGPT, actually. So we’re playing a game of tennis. We’re giving them information, they’re giving us some back. We’re giving them more information, so we’re building upon it. Okay, so rather than filling all of this out, we’re going to get the AI to kind of dictate the characteristics and the parameters of the game. We’re just going to give it the game title. So let’s select this, make sure I have it all, and then paste that into Chat GPT. And then we’re going to I’m a fan of Legit suit, Larry. I was. So let’s go. The game is about man trying to find a girlfriend that is always refused by women. There we go. There’s Larry Lapper. And then yeah, we can just plug that in. By the way, while this is confusing, I’d just like to add that you can change any of these details to suit your needs. So you’re not fixed, obviously, to what is writing now. And there we have it.

Our parameters are ready.

So what we do now is let’s.

Just copy that to a clipboard, open a new chat.

Now we need the engine.

So let’s take the engine, put that.

Into ChatGPT and put in our.

Game within the brackets.

There we go, we’re ready to roll. So obviously this can be done with applications as well. This is just an example of proof of concept.

And there we have it, a self writing game engine. Sorry.

Within ChatGPT, this can be used.

For a lot of other functions.

Think about kind of self help or interactive educational systems, tours, et cetera.

So this is just basic example to show you the proof of concept.

This can be built out.

I did try to use ASCII as.

Like, an image generation for this, but it didn’t work too well. Yeah, this can be something really big, I believe.

Oh, sorry.

One last thing I forgot while I was editing.

Please subscribe to the channel.

It really means a lot. And if you did like it, then leave a comment or even a like. And also a shout out to my sister channel, which is Prompt muse, literally, my sister Amelia. And over there, you’ll learn all about graphics and images using T 53. So we have all of our content on promptmuse.com. So cheque us out. All right, take care. Bye.

<p>The post Unlocking the Power of ChatGPT: The First Game Engine first appeared on Prompt Muse.</p>

This tutorial will provide a comprehensive overview of how to create a text editor using the power of GPT-3. By plugging Google Docs into OpenAI, users will be able to harness the advanced capabilities of GPT-3 to create different models. This tutorial will walk users through the process, step by step, and provide them with the tools they need to create a powerful text editor. By the end of this tutorial, users will have a better understanding of how to use GPT-3 to create their own custom text editor.

How to get an API Key?

FAQ

Q. How much does OpenAi API cost?

It is not free, but it is cheap. We have listed OpenAi’s prices for you to view here.

Q. What can I do with the text editor?
A. With the text editor you can create articles, outlines, introductions, and conclusions with the help of GPT-3. You can also add images to your documents to make them more visually appealing.

Q. What models does GPT-3 use?
A. GPT-3 uses DaVinci 3 as its main model, although you can also use the older version, DaVinci Two if you wish.

Q: What is GPT-3?
A: GPT-3 is a powerful language model developed by OpenAI that is designed to generate human-like text. GPT-3 has been trained on a massive corpus of text, which allows it to generate natural-sounding text based on a prompt or context. It is used for a variety of tasks, including summarization, question-answering, and text generation.

Q: How can I use GPT-3 in Google Docs?
A: You can use GPT-3 in Google Docs by plugging it into OpenAI’s API using an API key. This allows you to harness the power of GPT-3 to create different models within your Google Docs, such as generating ideas, titles, introductions, outlines, and paragraphs. You can also use it to generate images and other media objects.

Q: What features does GPT-3 offer?
A: GPT-3 offers a variety of features that can help you create content faster and more efficiently. It can generate ideas, titles, paragraphs, outlines, images, and conclusions for your documents. GPT-3 can also be used to create natural language processing applications such as text editors and chatbots.

Q: Where do I get an OpenAI API key?
A: You can get an OpenAI API key by registering at the OpenAI website. Once you have your key, you can use it to plug Google Docs into the OpenAI API and start using GPT-3 for your text editor.

Transcript

Hi, guys. Today we’re going to be learning how to create our own text editor using the power of GPT-3. So we’re going to be plugging Google Docs directly into open API using an API key. This will allow us to harness the power of GPT-3 to create different models within our Google Docs. Let me show you an example.

So as I come over here, you can see I have a new menu which I’ve named GPT-3 blog. So let’s say, for example, I want to create an article about dogs. That would be my keyword. I just highlight it and then generate ideas. Now, this is asking GPT-3 for ideas of blogs around the subject of dogs.

Now, it’s selected a list of ten subjects that we could discuss for the sake of this demo. Let’s just choose the top one and let’s ask GPT-3 to make this title more enticing, more I don’t want to say click baity, but a nicer title for our users. So generate title. There we go. Finding the perfect pooch.

How to choose the right breed dog for your family. Fantastic. Okay, our article is coming along nicely. So next we want an introduction. So what we do again is similar to as before, just highlight our new title and then we’ll go on to generate introduction.

We can delete the rest of this, I suppose.

And looking good. So now we’re going to need an outline for our blog. Let’s just style this up a little bit. Title, big down. Great.

So now we’re going to ask for TPT three to create a blog outline. So this would be what subjects are we going to cover within this block? So similar to as before, we just copy this, just paste it here temporarily, and then we go to log outline. So this will give us our subjects. Obviously, we don’t need to cover all of this.

And for the sake of the demo, I won’t. We’ll just do the first couple. And there we have it. So we already have an introduction, so that can go right off the bat. So we got our first topic, overview of the importance of finding the right breed dog for your family.

Okay, so once again, go to here. And now we just generate paragraph.

Super. Let’s move this here and style it nicely. Next, we want benefits of having a dog.

Style it up and let’s ask for a paragraph again.

Awesome. Our blog is coming along nicely. Let’s say we want to have a picture of a dog here to break things up a little bit. So let’s just write a photo of a happy dog with a bone, highlight that text and then generate image. And there we have it, our happy dog.

Then we can just basically just go through building out our article paragraph by paragraph. We can ask the API to create a whole article, but it’s normally better to have some sense of direction and human control over the article. Otherwise you might just end up getting a lot of gobbledygook rubbish in, rubbish out. So finally, to end our article, we can just select everything that we have and then generate conclusion. So this will summarise everything that we’ve spoken about and give us a nice little happy ending.

And there we have it, our conclusion. So, as you can see, using this method, you can build out an entire article within a couple of minutes. No need to pay for any expensive or subscribe to any super powerful AI writers. You can do everything yourself custom within Google Docs. So how do we do it?

It’s actually super easy and you don’t need to know any coding knowledge to do this. It’s just a matter of copy and paste. And this method allows you to customise the outputs to your niche or specifications. So let me walk you through it from scratch. So, first of all, you need an open AI key.

Head over to OpenAI Register, and then you can collect your API key there from the API menu. Once you have your key, go back to Google Docs. And then we have four bits of code here that I’ve highlighted in different colours. So let’s start with the first one. Select that, go over to a new sheet, and we’re going to call this GP Three Power.

So once you’re in your Google docs, head over to extensions and Apps scripts. Once inside App Scripts, we can delete our boilerplate code, which is already there, and paste in our new code. So this is going to be for our menu, which is on our Google Docs page, the drop down. So the menu comprises of two elements, the parent holder and the subcategories. So let’s call our parentholder GPT-3 magic.

And at the moment, we’ve got two subcategories generate ideas and Generate images. And let’s save this and have a look to see how that works. And here we have our menu, GPT-3 Magic. Obviously, right now, none of them work because they’re not connected to any functions. But the basics are there.

Let’s head back over to our code. Next, we need our fixed variables. So let’s take that and paste that into our app script. So our fixed variables is basically our API key. So insert your API key here within the quotation marks.

I will deactivate this key before I upload this video, so no point trying to take this one from me. And then the second one is the model that we’re going to be using. So at this point, we’re going to be using DaVinci Three. You can use DaVinci Two, the older version, if you wish, but I’d highly recommend going with the latest one, which is currently DaVinci Three. So now we have our menu and our variables in place, we can start adding our functions and doing the interesting stuff.

So let’s just copy this prompt I’ve made earlier and paste it in to our app script. So we want this menu item to connect to this function. Now we need to say, what do we want this function to do? To do this, you simply write in plain English the commands that you give the AI. So in our case generates five log ideas around the word.

And then we got plus selected text. So in the demo we had Dog. So it will generate five blog ideas around the word Dog. And that’s our first function. To add another function, we can simply highlight that menu paste in a new one.

Let’s say we want to create a paragraph. So this will be what’s on the menu item and then let’s call it Generate Power. And then we select this prompt and we want to create a new one. So just copy, paste, generate. We call it Para, didn’t we?

There we go. And then we give it a new command. So with that selected text, write paragraph. So let’s actually change that to write a detailed paragraph about and then it will be cited text. So in our case, it will be subtitle and it will write a detailed paragraph about that.

Done. Let’s save that and have a look to see how that runs back to our Google Docs refresh. Okay, so we can do let’s do Cats now. Generate Idea. That’s a good point.

So first time you do this, you’re going to need to allow permissions. So that’s just a case of click and continue. Continue. As Google hasn’t verified it, it automatically gives you the warning and then go to protect it and allow and then you rerun it. Here we go.

Here’s our five ideas about blog titles. And then we can simply paste that and write a paragraph about it. And there we have it. So obviously, using this technique, you can do different prompts. I continue writing, I give up a conclusion, write headlines, give an outro, and anything else that your niche might require.

The possibilities with this method are endless to two images. It is a little bit slightly different. I’ll show you how to do that. Now head back over to our code and then select the Generate Image. With the images, by the way, you can choose between three settings.

There’s 256 by 256 pixels, five one two by five one two or 1024 by 100:24. Unfortunately, it doesn’t have any in between. I would highly recommend going with five one two. Unless you want super big ones. But five one two is fine.

So let’s head back over to our Apps script and we can paste in the image. This is called generate image. We already have it up there on our menu and there is no other settings that you need for this because it generates images based on the selected word. So we can save that. Head back over here.

Black Kitten.

As it is a prompt, the more details you write, the better. A photo of a black kitten sleeping, so we don’t get the weird eyes and then generate image. There we have it. A kitten, in some sense. What is that?

Is here. All right. Anyway, we have our cat and we have our blog, and that’s how you build it out. So you can add as many as you want, be as detailed or quirky as you want. And that is how we use the power of GPT-3 within Google Docs, and not need to spend a lot of money on other AI writers that do similar, but we’ve their own models.

This way you can customise it to yourself. Anyway, I hope you enjoyed the tutorial. Take care. Thank you, Alex.

<p>The post GPT3 In Google Docs: Create your own A.I Writer first appeared on Prompt Muse.</p>