LINKS:

ChatBase LifeTime Deal

ChatBase Monthly Subscription

Prompts:

Base Prompt

you are a writer. you write content using the resources, as I request and always add links to references. your articles are well written, factual, and contain subheadings every 1-3 paragraphs. you can ONLY mention products from the resources I provided you. you article starts with an introduction and ends with a conclusion. Do not write ANYTHING except the requested article.

Main Prompt (in chat)

Instructions:  write an 800-word article 

Topic: Creating a Modern Nursery: Top Furniture and Decor Picks from Nubie 

Target Audience: Parents

Internal Linking: Always use hyperlinks for as many relevant links within the site as possible, Example: We have <a href=”https://www.thechildrensfurniturecompany.com/beds>Beds</a> for all ages

Writing Style: Informative, broken up with relevant subheadings | bold (with <strong> tags) hyperlinked words.

URLS: Do not add full URLs, it needs to be wrapped in <a href> tags.

Title: clickbaity / interesting

User Intent: deciding to make a purchase 

Language: British English

Subheadings & titles: Wrapped in relevant H tags eg <h1>title</h1>

Paragraph Length: Random between 200-600 words

What is Chatbase?

Chatbase is an application that is designed to help users create chatbots for various purposes. However, Alex has found a unique use for the application that he believes can help anyone who is involved in content creation. With Chatbase, you can analyze all the content on a website and use it to train an AI model to create high-quality content. The tool uses OpenAI’s GPT-3 model to generate content that is both engaging and relevant to your topic.

How to Use Chatbase for Content Creation

Alex has developed a systematic approach to using Chatbase for content creation. Let’s take a look at his method step-by-step:

Step 1: Purchase Chatbase
The first step is to purchase Chatbase and get an OpenAI API key. You can buy Chatbase for $29 from AppSumo but you will need to purchase an OpenAI API key which costs $159. The key is essential as it allows Chatbase to access OpenAI’s GPT-3 model, which is an integral part of the application.

Step 2: Analyze the Website
Once you have installed Chatbase and input your OpenAI API key, you can start analyzing the website you want to create content for. This is an important step as it allows Chatbase to learn all the content on the website. To analyze the website, simply input the URL and let Chatbase crawl the website. The process can take a while depending on the size of the site. The tool can crawl through up to six million characters of content. Alex advises that you make sure you have selected the correct website and region you would like to extract content from.

Step 3: Train the Model
Once the website has been fully analyzed, you can proceed to train the AI model. During this process, you can choose what type of data sources you want to teach the AI. For example, you can choose to teach the AI only specific pages, products, or searches. The Chatbot API can also hyperlink into pages found on the website, allowing it to generate content that is precise and specific to the user’s query.

Step 4: Customize the Content
After creating the Chatbot API, you can start generating content. The AI model produces the content quickly, but as Alex notes, it’s not always perfect. You can further customize the text generated by removing any parts you don’t like. The chatbot dynamically learns from your changes, so after making selections, the chatbot may produce better results the following time you use it.

Step 5: Use the Content for Articles, Blogs, Ads, Social Media Campaigns
Once you have fine-tuned the content to your preferences, you can export the content for use on your blog, social media channels, ads, or even content for a book. The Chatbase tool does not limit the user to specific content formats. Instead, you are free to use the generated content as you see fit. You can even store multiple versions of generated content until you decide which version to use, meaning more value for a single purchase.

Alex’s Tips and Tricks for Chatbase Content Creation

1. Test the AI
Before exporting the AI-generated content, Alex suggests testing the chatbot API’s accuracy. Perform some queries related to the keywords and phrases that are relevant to your brand, and see how well the Chatbot API responds. If any responses are inaccurate, make the necessary changes to enhance accuracy.

2. Use the Right Temperatures

When using GPT-3 formulas, Chatbase, GPT-4, or GPT 3.5, Play advises that the used temperature values will influence the output entirely. When creating articles, low temperatures like 0 must be used to achieve factual content while avoiding false statements.

Chatbase is a powerful tool that can help anyone who is involved in content creation. With Alex’s systematic approach, you can use the tool to analyze any website and generate high-quality content in just a matter of minutes. If you’re currently working on a content creation project and want to streamline your writing process, consider investing in Chatbase. This application will not only save you time but also produce content that is both engaging and relevant to your topic.

FAQ

1. What is Chatbase and how can it be used as a chatbot?
Answer: Chatbase is an application that can memorize and learn all content on a website to be used as a chatbot.
2. Can Chatbase be used in a different way?
Answer: Yes, it can be used in a different way, which will be explained in this episode.
3. How much does Chatbase cost?
Answer: Chatbase is available on AppSumo for $29.
4. Do you need an Open AI API key for Chatbase to work?
Answer: Yes, an Open AI API key is required to use Chatbase, and it costs $159.
5. What is Chatgpt and how is it used in the demo?
Answer: Chatgpt is a tool for creating chatbots, and Alex Player demonstrates how to use it in this episode.
6. Can you choose data sources to teach the chatbot using Chatgpt?
Answer: Yes, you can choose data sources to teach the chatbot using Chatgpt.
7. What is the maximum amount of characters you can use on the current tier of Chatgpt?
Answer: The maximum amount of characters on the current tier of Chatgpt is 6 million.
8. Can you remove things you don’t want with Chatgpt?
Answer: Yes, you can remove things you don’t want with Chatgpt.
9. Can Chatgpt read PDFs or certain URLs?
Answer: Yes, Chatgpt can read PDFs or certain URLs.
10. What kind of topics can Alex Player generate with the help of Chatbase?
Answer: Alex Player can generate article/topic ideas for a brand’s website with the help of Chatbase.

<p>The post Create GPT4 articles with automated internal linking first appeared on Prompt Muse.</p>

Step 1: Go to GitHub and navigate to https://github.com/cocktailpeanut/dalai. This is where you can download the necessary files to install the language models.

Step 2: Choose which model you want to install. Alpaca is a more optimized, smaller version, while Lama is the original open-source and larger in size. In this tutorial, we’ll be using Alpaca.

Step 3:

If you’re on a Mac, Install Node.js on your computer. Simply click on the Mac installer and follow the prompts.

If you’re on a PC, you’ll need to download Visual Studio, select Python development, Node.js, and Desktop Development C, and choose which modules you’d like to install.

Step 4:

Installation for Mac

First, let’s talk about installing alpaca models. To do this, you can run the following command inside TERMINAL:

npx dalai alpaca install 7B

This will download the alpaca models onto your computer, which you can use for various tasks.

Optionally, To download the larger llama models, you can run the following command:

npx dalai llama install 7B

This will download the llama models onto your computer, which you can use for tasks such as text generation or translation.

If you want to download multiple llama models, you can run this command instead:

npx dalai llama install 7B 13B

This will download both the 7B and 13B llama models onto your computer.

That’s it! Now you know how to install both llama and alpaca models on your computer. Have fun using them!

Installation for PC:

Firstly, it’s important to note that if you’re using a Windows computer, you need to run all the commands in cmd and not in powershell. Powershell has strict permissions that can make the script fail silently.

Now, let’s get started with installing alpaca models. Open your cmd application and type in this command:

npx dalai alpaca install 7B

This will download the alpaca models onto your computer.

Next, let’s add llama models. Open your cmd application and type in this command:

npx dalai llama install 7B

This will download the llama models onto your computer. If you want to download multiple llama models, you can type in this command:

npx dalai llama install 7B 13B

That’s it! You’ve successfully installed the alpaca and llama models on your computer.

LOADING the user interface

Once you’ve installed everything you need, you can run the following command to start the web UI server:

npx dalai serve

This command will start the server, which will allow you to interact with your installed models through a web interface.

Once you’ve started the server, you can open up your web browser and navigate to http://localhost:3000. This is where you’ll find the web UI for your installed models.

Now you can have fun playing around with your models and using them for various tasks! That’s it for this tutorial – happy exploring!

Additional Resources:

Read about Dalai – https://crfm.stanford.edu/2023/03/13/alpaca.html

GitHub https://github.com/cocktailpeanut/dalai

<p>The post How to Run a Chat Model like Chat GPT on Your Computer without Internet first appeared on Prompt Muse.</p>

Artificial intelligence (AI) has come a long way in recent years, and with language models like ChatGPT, it’s easier than ever to interact with technology. However, as with any tool, the success of your AI interaction lies in the quality of the prompts you use. In this article, we’ll explore five research-backed prompting methods that can help you improve your AI experience, with full credit to the expert AI Youtuber, Goda Go (Like and Sub) for allowing us to share her content.

With these tips, you can get the most out of your AI assistant and achieve more accurate and meaningful results.

Consider the size of your prompt

One of the most common mistakes people make when prompting AI is either providing too little or too much information. It’s essential to consider the size of your prompt. ChatGPT, for instance, allows up to 4,097 tokens for the prompt and the result. If your prompt is 4,000 tokens, you’ll only get a response of 97 tokens, which isn’t enough to produce meaningful results.

Tokens represent the limit after which AI forgets. Different models have varying token sizes. For example, ChatGPT uses the Da Vinci003 model with a limit of 4,000 tokens or approximately 3,000 words. When creating your prompt, ensure it’s within the allowable limit to maximize your results.

Providing too little information to AI can lead to vague or incomplete responses, leaving you with more questions than answers. On the other hand, too much information can cause confusion and overwhelm the AI, resulting in irrelevant or inaccurate results. Therefore, finding the right balance is crucial.

As mentioned earlier, ChatGPT allows up to 4,097 tokens for the prompt and the result. To make the most out of your AI experience, it is crucial to keep your prompt within this limit. Keep in mind that this limit is the total number of tokens, which includes spaces, punctuations, and other characters.

To ensure that your prompt is within the allowable limit, consider breaking it down into smaller, more manageable parts. This approach will help you focus on the essential details of your prompt and get more precise and accurate results.

Provide instructions

A prompt can contain information such as instructions or questions, and it can also include other details like inputs or examples. Here are a few examples of how you can use instructions to improve your AI experience:

• Use TLDNR (Too Long; Did Not Read) to provide a summary of your prompt.
• Include personal identifiable information for sales or email marketing purposes.\
• Use adjectives before your text. You can also ask ChatGPT to list 20 adjectives that go before a word like “story.”
• Assign a role to AI. For instance, you can start with “You are a doctor” or “You are a lawyer” and ask ChatGPT to answer medical or legal questions.

Use a Q&A format

The Q&A format is a powerful method to improve the precision and accuracy of the responses you receive from an AI assistant like ChatGPT. Unlike a standard prompt, the Q&A format involves asking specific questions to prime the AI with the exact answers you are looking for. By asking targeted questions, you can eliminate any ambiguity or confusion in your prompt and ensure that the AI focuses on the most important information.

The Q&A format is commonly used in research papers and academic literature, where researchers often include a list of questions and answers related to their research topic. This approach can be easily adapted to your interaction with ChatGPT. To use the Q&A format, simply structure your prompt as a series of questions and answers that you want ChatGPT to address.

For example, let’s say you are writing an article on the benefits of yoga and want to get some insights from ChatGPT. You could prompt ChatGPT with questions like “What are the physical benefits of yoga?” or “How does yoga improve mental health?” By using the Q&A format, you can ensure that ChatGPT provides you with precise and relevant information that directly answers your questions.

The Q&A format is particularly useful for complex topics that require detailed and specific information. By breaking down your prompt into a series of targeted questions, you can ensure that ChatGPT focuses on the most important aspects of the topic and provides you with the most accurate responses.

Try the chain of thought prompting method

Chain of thought prompting is a powerful technique that can help you solve complex problems. Here’s how it works:

• Show ChatGPT an example of a complex problem you’re trying to solve.
• Explain how you would solve the problem step by step.
• Close the loop by asking, “What would be the result?”
• Include your complex but similar question.

This method is three times more effective at tasks like arithmetic, common sense, and symbolic reasoning compared to a simple standard prompt.

Use the “Criticize Me” mode

“Criticize Me” mode is a personal approach to challenge ChatGPT’s output and encourage it to criticize itself. Here’s how it works:

• Provide input and instructions to ChatGPT.
• Once you get a response, switch to “Criticize Me” mode and ask ChatGPT to act as a critic.
  For example, you can ask ChatGPT to criticize email titles and convince you why they’re bad.
  Act as a harsh critic and provide brutally honest feedback.
• Encourage ChatGPT to rewrite the titles.

This method can help you challenge your assumptions and ideas while encouraging ChatGPT to improve its output.

Effective prompting is essential to getting the most out of your AI language model. By following the tips and techniques we’ve shared in this article, you can improve your results and make the most of your AI assistant.

<p>The post Mastering AI Interaction: 5 Proven Prompting Methods for Better Results first appeared on Prompt Muse.</p>

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>

FAQ:
Q. What is GPT-3?
A. GPT-3 (Generative Pre-trained Transformer 3) is an AI writing tool that can generate news articles, opinion pieces, and marketing campaigns.

Q. How do I get started with Chat GPT?
A. First, set up the GPT-3 extension for Chrome and grant the necessary permissions. Then, head to the web chat area and type in a keyword or title related to what you want to find news about.

Q. What are the benefits of using Chat GPT?
A. Chat GPT is convenient, free, and easy to use, providing quality content in just a few clicks. Additionally, since GPT-3 has been trained up until 2021, users always have access to the latest news and opinion pieces.

Q. Can I customize the type of article I generate with Chat GPT?
A. Yes, you can customize the number of results generated and the style of writing, such as an opinion piece or a news story. Additionally, you can set parameters such as the length of the article, the language, and the level of readability.

Q. How can businesses utilize GPT-3?
A. Businesses can use GPT-3 to quickly generate blog posts, marketing designs, and campaigns. Additionally, GPT-3 can be used to track Twitter trends and generate Bingo cards.

TL/DR: Chat GPT is a revolutionary tool that helps people stay informed on the latest news and trends. It offers customisable options and is free and easy to use. With its connection to the internet, users can access up-to-date information and opinion pieces in just a few clicks. Whether you’re looking to get the latest news or write your own opinion piece, Chat GPT is the perfect solution.

<p>The post How To Connect ChatGPT to the Internet first appeared on Prompt Muse.</p>

Maximizing the potential of ChatGPT requires the crafting of clear and specific prompts. To aid in this endeavour, we’ve compiled a list of tips to keep in mind when writing prompts for this cutting-edge AI language model:

1. Task Specificity: Be clear on the task or question you want ChatGPT to tackle. Instead of asking a vague question like “Write a story about a dragon,” opt for a more specific request, such as “Write a story about a friendly dragon who assists a group of lost travelers.”
2. Contextualization: Providing context for the task is key. This includes details on the setting, characters, or background information related to the story or activity. For instance, if you’d like ChatGPT to pen a news article, provide information on the subject matter, such as “Write a news article about the construction of a new school in the city, including details on funding and community support.”
3. Guided Language: Use specific words and phrases to steer the output in the desired direction. For example, to generate a humorous story, include words such as “funny” or “laugh” in the prompt.
4. Clarity: Simple language is best. ChatGPT is an incredibly powerful tool, but it can’t read your mind, so ensure your language is easy to understand and avoid using technical terms or complex vocabulary.
5. Age Consideration: Keep in mind the age and skill level of your target audience. ChatGPT’s output may not be suitable for young children or students with limited reading and writing abilities, so review the output and make any necessary changes.

   In conclusion, writing effective prompts for ChatGPT requires careful consideration and attention to detail. By following these guidelines, you can unlock the full potential of this state-of-the-art AI language model.

<p>The post Tips for Writing Perfect Prompts #1 first appeared on Prompt Muse.</p>

IMPORTANT: You must be viewing the video in YOUTUBE to comment. Click HERE to goto Youtube.

Transcript

Hey, GPT threers. Today we’re going to be showing you how to create an autoresponding YouTube bot which responds to every comment. Don’t believe me? Leave a comment down below and it will get back to you. Now, I’ve been speaking to myself in the comment section like a madman, but it finally works.

I’ll show you how. Let’s jump in.

Okay, so first thing we’re going to need to do is head over to open Api.com and log in. Click API and then select Login. Just log in as usual. So what we’re going to do now is head over to Playground and this is where we’re going to work out what exactly our prompt will be. Okay, now we’re over in Playground.

We’re going to do a skeleton just to see what type of responses we’re going to be getting with such instructions.

So after some playing around, I’m finally happy with the model I have. So I decided to go for this format. So I’m giving it the information of what the comment will say. I’m just being very optimistic here. Love your video.

The commenter’s name, I’ll go for the name Alex and how to respond. So this is just instructions for the AI on how to respond to the comments. So pretend that you’re a GPT-3 technology YouTuber. Respond to the comment in the humorous style and in the style of a tech enthusiast YouTuber. The average response is between 100 to 200 words and then end your message with proper newspap sorted.

So if we hit submit, we can see an example response and this looks pretty good, so I’m happy to go on with that. So for this exercise, we’re going to be using Pabbly Pabbly Connect. It’s pretty much similar to Zapier, but a lot more budget friendly. As far as I’m aware. They do offer a free plan which provides 100 tasks per month, so you can give it a try before you buy.

Right now they do have a sale on for 30% off, but if you do use the URL in the description, you can get a lifetime access for one time charge. So up to you which option to take. But for the sake of this demo, you can create a free account. So sign up and let’s go. So here we are in Padley.

We need Pabbly connect. This is the application we’re going to be dealing with today. And so once that’s loaded, we pop over and click Create new workflow. Give it a name, let’s call it YouTube bot UFB youth B bot. So that what that will do.

And we’re off to the races. So Pavilion Connect is very tiered, so it’s very linear. So this is the first step, second step, and then you just add them in steps, so it’s kind of easy to follow. So the first step that we’re going to need for this pot is YouTube. So type in you and select YouTube.

Once we’ve done that, we need to add a trigger event. The trigger event is what causes the next action to happen. It will look for the trigger for every ten minutes. So in our case, we want the trigger to be when a new comment is made on the video. Splendid.

Now let’s punch Connect. And then you’ll probably need to connect your YouTube channel. So you add new connection, give it a name and then connect to your YouTube account. I have mine already done. So I can just select existing connection and hit Save.

Next, we need to say which YouTube video we want the bot to be on. My video isn’t actually published yet, so what we can do is pop over to Matt, give that click, paste in the YouTube video URL and then just delete the prefix. And so we just have the YouTube code and that’s it, we’re done. First step. So, as you can see here, it’s pulled in all the information from the comments from the video, the dates, the timestamps, everything we’re going to need.

So that takes us to the next step. Step two. So in step two, we need to search for open AI. Once that’s done, we need an action event. So give that a click.

For the sake of this demo, we’re going to be generating content. But if you want to make it more complicated, we could cheque moderation and then go on to generating content to make sure there’s no foul language. But I trust the bot will be good enough on its own. So let’s try this with just generate content for now, give it a click and press Connect. Next, it’s going to ask for your API key.

So if you remember, this can be found over in Openai.com. Go to Personal and then view API keys and you can generate them there. So give it a name, put in your API key. I have mine already done. And click save.

Okay, so let’s go through this OpenAI section. So first we want to choose the model. The best one is currently DaVinci Three. That was also the most popular, so give that a punch. And now we want the prompt.

For the prompt, let’s go back to our playground text that we had. And we just want this section. We don’t want the response, we want the prompt itself. So, moving back over to Pabbly, we were going to paste in our instructions and fill in the blanks. So love your video.

Let’s remove that. And we want that to be the text original. Not the display, but the text original. Next, for commenters, name remove Alex. And we are going to go back over to our YouTube information and we are going to select Author, Display, Name and that’s pretty much it.

So play around with the prompts, preferably in Playground, and then paste it when you’re ready to go. Max tokens that can stay at 256. And then the others, as mentioned before, especially Presence penalty and frequency penalty, they can start a default. But if things do get a bit repetitive, then play around with them first. Save and send test.

Okay, so once we’ve done that, we just move on to the last and final third step. So let’s hit the plus sign. And now we want YouTube again because we’re going to be posting to YouTube and now we’ve got our contents. So once you’ve selected that, head over to Action Events. We want reply to comments.

There we have it. And connect. We’ll use the same connection that we had already set up in the previous step. So hit save and then we need to say a what are we going to say? So in our case, it’s the text that we created.

And then finally we want the comment ID so it knows which comment to apply to. So in this case, let’s select YouTube and find the comment ID. So we can find that just by typing comment I. And here we have it, the top level comment ID. And then we can save and test that request.

That’s pretty much it now. So let’s pop over to the video, leave a comment and then wait ten minutes. And there we have it. The content bot is ready and working it’s a little bit on the long side, so I’ll probably tweak that. But yeah, good to go.

Goes and leave a comment and check it out like subscribe and take care. Bye.

<p>The post GPT3 Replies to EVERY comment on THIS video (within 10 min) first appeared on Prompt Muse.</p>

Links

APIHENY (API for Google Sheets) – LifeTime Deal Currently only $99

Copy FREE Sheet from here: https://docs.google.com/spreadsheets/…

Special thanks to Mike Hayden, https://autosheets.ai/

Transcript:

Hey, GPT-3ers!

Are you ready for the ultimate content creators dream? Or maybe nightmare, depending on how you look at it. Either way, we’ve got twelve magical words that are guaranteed to get you excited. Rewrite content in bulk that is better than the original and undetectable. Yes, you heard that right. With the power of GPT-3 and Google Sheets, you can now rewrite content content from multiple URL I’m too excited. From multiple URLs in bulk, making it better than the original and completely undetected. So are you ready to join the ranks of the ultimate content creators? Let’s go. Welcome back. So the first step is you’re going to need an open AI account to do this. Head over to openair.com. The link is in the description below and then click API. Sign up and here you’ll be prompted to add your email address and do a recapture. For the sake of the demo, I’m going to continue with Google as I already have an account. You will then be asked for a phone number verification. This is basically just to make sure that you’re not someone trying to spam many accounts to get free credits. So pop in your number and send code and blend the verification.

Once in, click on Personal and click Manage account. Over here we want to head to billing and we want to add our favourite payment methods. If you want to see how much it is exactly before you start spending, head over to the options. Click Pricing and then it tells you how much it costs per image generation or per word generation. Okay, we’re nearly ready to go, so let’s click Personal View API keys and this is where you can create and select an API key. This key I will delete. Obviously you don’t want to share your P because basically that key will allow people to charge your account, so keep it a secret. Now, with that out of the way, I would like to say a special thank you to Michael Hayden of Autosheets AI link in the description who allowed me to use his workflow. And pretty much this wouldn’t be possible without him. So big. Thanks, Mike. Hey all, this is Alex from the future, about a week and a half in the future. So the voice is going to sound different. I’m in a different room, I’m at different time. Things have changed, the code has changed, the workflow has changed, I’ve changed, the aim of this has changed, everything’s changed.

So if there’s a little bit difference within the continuation of this video, how it was initially, I’m sorry, but it’s changed for the best. So what do I have to show you? We have the bulk GPT-3 content creation, which scrapes and reiterates content. What do I mean by that? Well, first I’ll show you how it works, then I’ll show you how it works. Head over to the Discover tab and type in the search term you want to be ranking for so best dog food, that will do fine. Then we go to extensions and run all requests. So this is using an application called Affinity IO. I’ll give you the instructions on that in a second. And it’s scraping Google with my API that I’ve created. And the green tick means good, so close that down and now we can put in the data after running API. Here we have it. This is the top 100 articles for best dog food. So let’s have a look at some of these articles. Which ones would you want? You can select as many or as little as you want. So for the sake of this I’ll just do one.

Save my credits. I’ll do one. The best dog food, how to choose the right food for your pet and lovely. So give that tick and then move over to rewriter and that will be waiting for us already. Fantastic. Now we have the option to choose additional features. FAQ, TLDR, suggested hashtags Slack which is the URL and create an image for the sake of the demo. Let’s push the boat out and do all of them. Head over to the menu and then activate rewrite a little bit like star eight chevrons. These are now locking into place. It’s scraping the content of the article and removing all of HTML elements. It’s creating a list of the top keywords for that article that we should be hitting. It’s creating an article summary based on all this information. Then we will ask it to create a 1000 word article with hub headings in the same format of using the same facts and building upon them. The 1000 limitation is due to GP three so which forfeit push it into another one and we ask it to continue the article so we could open this and see it’s done. Lovely formatting.

I’ll fast forward this for the safety of sanity. Then we’ve got continue article. Now we do an FAQ of TLDR and then it will compose them all together for us to copy to wherever we wish. Sometimes it gets some random text at the top. Ignore that, that’s just it thinks the buttons I’ve created are instructions but there’s not as code. Then it will write a clickbaiting headline, give us an Seafocused URL message, a description and then to top things off piers to resistance we have a picture. Lovely little dog shimp and yeah, that’s it. Your article is ready to go. What was that? A minute? Two minutes and you can click as many articles and it will produce as many as you want. So what do you need to make this okay? First of all, let’s head over to setup. You’re going to need your GPG three API which we mentioned earlier in this video about two weeks ago. Put it there and then surphouse API which is free. You get 200 calls for every month which is ample really all of this. So far is just one call. And then stick your API in there.

The links are here below, and then Effini, which is the scraping I did on Discover.

Hey, it’s Alex from the future. Future here. If you don’t want to pay for a feeney, you don’t have to. You just don’t do the scraping part. So just delete that entire tab and just manually put in the URLs. It’s optional, but I just thought I’d add this in.

Cheers. This is usually, I think, $13 a month or $300 forever. But right now they have a promotion on AppSumo where it’s $99 forever. No monthly cost. That’s it. That’s the less the price. So grab that while you can. Additional here. We have credits at Auto Sheets who came up with a concept initially that I built on. Thank you to them and buy me a coffee buy me a coffee buy me a coffee shameless plugin yeah, buy me a coffee once you’re ready and you got your APIs in order, head over to Extensions, add Extensions, get Add ons, and then search for API, the Afini API connector. Click on that and click Install will then ask you for some Google permissions. Plus just click yay. Initially, when you first tried to run anything here, it will do a pop up. Say this is unsafe. Click advance. Click. Okay, I agree. So your soul and then click is fine. Then once you’ve done that, head back over to Ethnic Connector and click Import API. So what we need here is something that I forgot to do. We need this little snippet here. So I will put this here for you.

There we go. Let’s make that neater. Let’s say what it is. It’s not a bike. Off the button. Okay? So once you got that code, head back over to this Import API. Okay, this is important. Paste it in here. Click Save. Give it a name. Google Cert. Doesn’t matter what the name is, as long as you know what it is. Save. That. I’ve got two. You should have one. But this is for demo purposes. Click it. Google serve. That’s fine. We want to change this to Processing. Do not allow it to be set up. That is important. It will just obliterate this page, but change it to Processing. So it dominates stuff in this tab down here. Everything else is good. And click save. I’ll just delete that. You don’t delete yours. So you should just have one and that’s it. You’re pretty much ready to go. If you want to kind of customise the tone of voice, the way it’s written and stuff, you can look under the hood. Simply just highlight number one, hold down Shift. Highlight number three as well. Right click do resize rows fit to data. Okay, so this expands column number two.

And you can see all the initiatives that we’ve done with the text here. So things like, if you want to change the output type of the content. You can tweak this initial instruction. Additionally, you can tweak the continuation. Have a look. Cheque under the hood. Have a play of it, dabble with it a little bit. Play and see what you come up with. Yes. So like subscribe hope to see You Soon by Maria Profi take care, alex out. Bye.

<p>The post GPT3 Auto Scraper & Content Re-Writer + SEO first appeared on Prompt Muse.</p>

LINK TO CODEX – https://beta.openai.com/codex-javascript-sandbox

Transcript

Hello GPT-3ers. 

It’s Alex here. As you may have noticed, right now, everyone and their dog is talking about GPT-3. GPT four. And let’s not forget GPT chat. You can’t turn on YouTube currently without seeing another video. Don’t get me wrong, I personally am loving the public attention AI is suddenly getting, but there is one major Open AI model that has not received nearly enough attention. One model that if you on YouTube, you’ll probably find five or six results.

Now, I’m not entirely sure whether OpenAI have deliberately made the decision to hide it from the public, as it’s not clearly visible anywhere on their front facing web pages, yet it’s still super easily accessible if you know where to look. I am, of course, talking about from Role, please open AI codex, which is what Chat Gptpt is to text, but to application development. With only a few lines of code, you can create graphical games, calculators, webcam applications and a lot more.

This is prompt news. Let’s dive in. Okay, let’s preface this by saying I am by no means a developer, which makes this even more interesting for me, as suddenly something out of my reach, which may have taken me years to learn or even to try and make, or at least been a hefty investment, is now accessible with only a few lines of text.

By the way, I’ve included the URL to access the codexandbox in the description below, though it does have a few bugs that I’ve run into, which are quite annoying things. Like it hangs when you do too many instructions, or sometimes when you delete an instruction, it kind of remains in the cache and still affects the programme, and so it should be gone. So these are some things it still needs to iron out, but aside from that, well, it’s amazing.

Okay, let’s jump into this and mix something together. Okay, so here we are. This is the Codex sound pits. So let’s jump in and try and make something. Let’s try and make a little game. So let’s first have okay, hang on a second. Let’s find a little picture of a spaceship. Oh, add this to the bottom of the page. Size 100 pixel height. Okay, so the issue we have there is I didn’t do Https, so let’s copy that, delete it, try that one again. Https spaceshipness I don’t want to bore you of me making stuff, and this isn’t a tutorial, it’s more of a kind of public announcement saying, hey, Cheque, this cool stuff out.

So I’m going to fast forward through me using it, just so you can get some ideas of how to use it and things that it’s capable of. By all means. I’m not an expert at this, so it can do a lot more than I’m currently using. So, anyway, enjoy.

Okay. And on that note, I’m going to wrap it up today. That was a quick one. I hope you enjoyed it. So, yeah, cheque it out, see what you can make and please share with me. I’m very interested to see what you can come up with. So please share below your designs and your creations. That’d be amazing. As always, it’s been a pleasure. Please like and subscribe. It means a lot to me. And, yeah, I’ll speak to you soon. Take care. Bye.

<p>The post Discover OpenAI’s Powerful Hidden Tool: Codex first appeared on Prompt Muse.</p>

Jan 22 2022 | UPDATE: Since publishing this article, there have been reports that the paid options has now been removed with no mention as to why. We have reached out for comment, and are yet to receive a response.

Today, OpenAi the leading artificial intelligence company, has released a pricing plan for their innovative ChatGPT product. Customers now have two options to choose from: a free plan and an advanced plan that costs $42 per month. It currently appears that the option to upgrade is being slowly rolled out across the globe.

OpenAi’s ChatGPT product is a revolutionary step forward in artificial intelligence. It has the potential to revolutionize the way people interact with technology and make AI more accessible to everyone.

The free plan will have a slower response time, and the user will not be guaranteed usage during peak times. This plan is great for those who are just getting started with AI and want to explore its capabilities.

The $42 per month plan is a great deal for those who need ChatGPT’s services on a regular basis. Not only do users get faster response times, they also get priority access to the system when it is busy. Additionally, they get to be the first to try out any new features OpenAI may develop in the future.

OpenAi’s pricing plan makes ChatGPT accessible to everyone, regardless of their budget. With the free plan, users can explore the possibilities of AI, while the advanced plan provides more control and flexibility. OpenAi is confident that this pricing plan will help make AI even more accessible and useful for everyone.

<p>The post OpenAI Launches New Pricing Plan for 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>

John Mueller, Webmaster Trends Analyst at Google, clarified that AI written content is considered spam by the search engine. 

In addition, Google has launched a suite of new tools called Google Cloud Natural Language AI which helps developers create multilingual content. These tools are designed to help brands produce quality content that is free from errors and meets the needs of their target audiences. In this article, we will discuss the impact of AI content on SEO and the best practices for using it to optimize your website.

What was the Status Before the Google Update?

Before Google’s December 2022 helpful content update, SEOs were unsure as to what the status was on AI-generated content. There was a general consensus that Google didn’t consider it to be helpful content, but there was no official statement from Google on the matter. However, with the release of the new update, Google has made it clear that automated content is not welcome in its search engine. This means that SEOs have to be conscious of the type of content they are creating if they want to rank well in search engine results. The new tools from Google Cloud provide an easier way for SEOs to create helpful and relevant content quickly and easily.

What is the Google Cloud Tool for AI?

The Google Cloud Tool for AI is a suite of products and services that can help businesses create, manage, and optimize their Artificial Intelligence (AI) solutions. It offers fast, scalable, and easy-to-use AI offerings including AI Platform, video and image analysis, speech recognition, and multi-language processing. With these tools, businesses can create content quickly, accurately, and cost-effectively. In addition to this, the Google Cloud Tool for AI also provides insights into how content is performing on the web and provides recommendations on how to maximize its visibility. With these features, businesses can ensure their content is reaching its intended audience.

Google is committed to helping businesses and organizations create content that meets the standards outlined in its Webmaster Guidelines. To this end, Google has launched new and updated AI tools to help customers have a smoother online shopping experience and assist retailers in writing content. With these tools, businesses can generate multilingual content quickly and easily. They can also use AI-generated text to create content for websites and social media, providing an efficient way to produce content and stay competitive in the digital space. Google understands the potential of AI-generated content, which is why they have put safeguards in place to prevent any content created solely for search engine rankings from being considered spam.

How Can You Use AI Content Writing for SEO?

In the past, AI writing tools were not recommended for creating content due to the fact that Google was quick to reject content generated by artificial intelligence, but that’s no longer the case. With the help of Google’s Cloud tool for AI and its guidelines on writing content for SEO, you can now use AI content writing for SEO purposes. There are many benefits to using AI content writing for SEO, such as faster content creation and higher-quality results. However, it’s important to remember that using AI writing tools should never replace human writers. In order to get the most benefit from your AI content, it’s essential to understand the best practices associated with using it.

How Does AI Content Affect SEO Rankings?

John Mueller has explicitly stated that content created with AI tools will be treated as spam if it is done primarily for search engine rankings. However, AI-generated content can still have a place in SEO if it is used correctly. For example, AI-generated content can help supplement existing content and allow for more multilingual content on your website. Moreover, AI-generated content can be used to create helpful and informative content – which could have a positive impact on SEO rankings. It is important to remember that Google looks at the quality of the content and not just the quantity. Therefore, it is important to ensure that your AI-generated content adds value to the user experience.

The Future of AI Content Writing

Google’s update on AI written content has provided businesses with clarity on how to create and use AI content. It’s clear that Google is moving towards a more supportive stance on AI content writing as a means of increasing web content quality and ensuring sites are ranked fairly. With the new Google Cloud tool and continued support from Google, businesses can use AI writing tools to create effective content without fear of being penalized. However, it’s important to remember that AI content should be used in moderation and should not be used as a replacement for human-written content. As AI technology continues to improve, it will be interesting to see how AI content writing evolves and impacts SEO rankings in the future.

<p>The post SEO and AI-Generated Content: What You Need to Know About Google’s Guidelines first appeared on Prompt Muse.</p>

If you are interested in the Chat GPT Pro version, you can join the waitlist here:
Click here to join waitlist If selected, OpenAI will reach out to you directly.

The reason for the monetization is that OpenAI is currently operating at a daily loss. The cost of running ChatGPT is $100,000 per day, and with many users taxing servers and reaching capacity, usage has had to be limited.

OpenAI estimates that ChatGPT already has over one million users and is growing every day, which means a lot of server usage. Additionally, GPT’s dataset is smaller than Google’s and is quickly becoming out of date. Revenue from the Pro version will allow the company to grow its dataset.

Sam Altman, CEO of OpenAI, had previously acknowledged that the company would have to monetize Chat GPT at some point due to the high costs of running the service. However, Chat GPT-3 dataset is still smaller than Google’s but with the generated revenue, the company could start developing and updating it further.

<p>The post Waitlist for ChatGPT Pro first appeared on Prompt Muse.</p>

DoNotPay is offering an unprecedented opportunity for lawyers who are scheduled to appear before the US Supreme Court. The AI-powered chatbot is offering $1 million to anyone who will let it take their place in a real case. This offer could have significant implications for the use of AI in the legal field. It will be interesting to see how this case plays out and how DoNotPay’s AI will perform in a real courtroom setting.

Introduction to DoNotPay

DoNotPay is a legal technology company that provides free tools to help people fight their tickets. Founded in 2015 by then-Stanford student Joshua Browder, the company has since expanded its services to assist people with over 1,000 legal matters. From helping families apply for government benefits to hiring lawyers and setting up virtual court hearings, DoNotPay has become a go-to resource for many individuals who are navigating the complex legal system. Now, the company is making headlines for its latest endeavor: using AI to argue a real case before the US Supreme Court.

This marks a major milestone in the use of AI in legal settings, as DoNotPay will be arguing a real case in court next month. This case is an important one as it involves two speeding tickets and DoNotPay’s AI will be presenting arguments before the court. It will be interesting to see how the court responds to this new technology and if this case sets a precedent for future use of AI in legal proceedings.

How DoNotPay Helps People Fight Tickets

Founded by Joshua Browder in 2015, DoNotPay has since helped over 16 million people in the U.S. and U.K. to fight their tickets, with a reported 70% success rate. The firm provides personalized advice and resources on how to challenge the ticket or even take the matter to court if needed. The service is completely free of charge and has been praised for its effectiveness.

Benefits of Using AI in Legal Settings

The use of AI in the legal field provides a number of benefits. For instance, it can help lawyers and other legal professionals save time and money by automating processes, such as processing documents or researching case law. Additionally, it can provide more accurate results than manual methods, meaning fewer mistakes. Furthermore, AI technology can be used to help lawyers and other legal professionals better understand complex legal concepts and analyze data faster to make more informed decisions. Finally, AI can be used to help lawyers and other legal professionals become more efficient and effective in their practice.

Conclusion

DoNotPay’s AI-based chatbot is set to revolutionize the legal industry. The AI-driven assistant can help people navigate the court system, fight tickets, and even argue cases before the US Supreme Court. DoNotPay is offering a $1 million prize to any lawyer or person appearing before the US Supreme Court that allows their AI to argue in place of a human lawyer. This case will be a landmark one and could potentially open up many doors for using AI in the legal field. It remains to be seen how successful DoNotPay’s AI will be in this case and what the implications of these results will be for the future of AI in the legal system.

<p>The post The World’s First Robot Lawyer set to take the stand first appeared on Prompt Muse.</p>

OpenAI is an artificial intelligence research and development company, founded by tech entrepreneurs Elon Musk, Sam Altman, and Greg Brockman. It has been at the forefront of AI development for the past few years and is known for its breakthroughs in the field. OpenAI is the creator of ChatGPT, a natural language processing (NLP) model designed to understand conversational language. The company is currently in talks to receive a $10 billion investment from Microsoft.

According to a report by news site Semafor, the investment will value OpenAI at $29 billion. The funding includes other venture firms and will provide Microsoft with 75% of OpenAI’s profits until it recoups its initial investment. This makes OpenAI one of the most valuable artificial intelligence (AI) companies in the world.

Microsoft’s investment in OpenAI will give the tech giant access to a wide range of AI technology, including ChatGPT. Microsoft will have the opportunity to use ChatGPT to develop new applications and services and integrate them with its existing products and services. Additionally, Microsoft will benefit from any profits generated by OpenAI through the funding terms, which include Microsoft receiving 75% of OpenAI’s profits until it recoups its initial investment. This could potentially provide Microsoft with a significant return on its investment if OpenAI’s projects are successful.

What are the Other Ventures Firms Involved?

Aside from Microsoft, other venture firms have also expressed interest in investing in OpenAI. According to the Wall Street Journal report, the firm is in talks with venture firms including Andreessen Horowitz, Index Ventures, and Khosla Ventures. It has not yet been revealed how much each firm is looking to invest.

What is ChatGPT?

ChatGPT is the innovative natural language processing (NLP) technology owned by OpenAI. It uses deep learning algorithms to generate human-like responses to questions asked in natural language. This technology has the potential to revolutionize natural language processing, and OpenAI has been using it to power its virtual assistant and chatbot products.

What is the Funding Terms?

According to the report from Semafor, the funding terms include Microsoft getting 75% of OpenAI’s profits until it recoups its initial investment once. This means that Microsoft will be able to recoup their original investment in OpenAI before any other investors can benefit from the company’s success. This also ensures that Microsoft has a controlling stake in OpenAI and will be able to shape its future direction and growth.

Aside from Microsoft, other venture firms have also expressed interest in investing in OpenAI. According to the Wall Street Journal report, the firm is in talks with venture firms including Andreessen Horowitz, Index Ventures, and Khosla Ventures. It has not yet been revealed how much each firm is looking to invest.

What Impact Will This Have on OpenAI?

The potential investment from Microsoft could have a major impact on OpenAI. With the $10 billion investment, it is expected to receive a major financial boost, allowing the company to expand its operations and focus on developing more of its AI technology. Furthermore, Microsoft’s involvement could also open up opportunities for OpenAI to collaborate with other leading tech firms, providing more resources and access to new markets. The injection of funds may also give OpenAI the resources to hire more staff and develop more products.

What Does the Future Hold for OpenAI?

The investment from Microsoft could be a huge boon for OpenAI as it looks to grow and expand its research and development efforts. The company has already made huge strides in developing AI technology, but with this funding, it could take things to the next level. With Microsoft’s support, OpenAI could become a leading player in the AI industry, paving the way for further innovations and revolutionary developments. It remains to be seen what the future holds for OpenAI, but with Microsoft’s backing, the possibilities seem endless.

Microsoft’s investment in OpenAI is a strong sign of confidence in the AI industry. The $10 billion investment is a significant boost for the company, and it is expected that OpenAI will use the funds to continue to develop and expand their ChatGPT technology. This investment could have a major impact on the AI industry, as OpenAI has been at the forefront of advancements in this sector. It will be interesting to see how Microsoft’s investment affects OpenAI and the AI industry in the long-term.

<p>The post Microsoft Corp to Invest $10 Billion Into OpenAI Chatbot Maker 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>

As AI continues to evolve, it has prompted some to ask if it will eventually replace traditional search engines. Now, a new report reveals that Microsoft is preparing to launch a version of its Bing search engine that uses the artificial intelligence behind ChatGPT to answer some search queries. This could be a game changer in the way we search the internet, making it easier to get accurate answers to more complex questions. With the potential for more intelligent query suggestions and the ability to generate AI artwork from a descriptive text prompt, Microsoft’s Bing could be at the forefront of the future of search.

Introduction to ChatGPT and Its Impact on Search Engines

ChatGPT is a new artificial intelligence technology that has been making waves in the tech industry by its ability to generate natural language responses to questions. It has prompted some to proclaim that AI chat will kill traditional search engines, while Microsoft is reportedly preparing to launch a version of its Bing search engine that uses ChatGPT to answer some queries. The new technology could potentially revolutionize the way people search for information, offering more meaningful search results than traditional search engines.

How Microsoft’s Bing Search Engine Is Incorporating ChatGPT Technology

This move comes as a result of Microsoft’s 2019 investment in OpenAI, which included an agreement to incorporate some aspects of GPT into Bing. The new features could include providing full sentences in response to search queries, along with relevant suggestions and explanations. Bing may also be positioned as one of the only ways to access parts of ChatGPT for free, as OpenAI plans to eventually charge for it. 

Examples of How ChatGPT Could Change the Way People Search for Answers

By leveraging artificial intelligence, ChatGPT can suggest related queries based on the original question and explain the relevance of those keywords to the user. Additionally, it can provide full sentences as answers with sources, instead of just a list of links. This technology could also help Bing do a better job of suggesting other keywords users could use to find answers to related searches. All of this could lead to a much more comprehensive and intuitive search experience for users.

How Microsoft Is Preparing to Launch Bing with ChatGPT Technology

Microsoft plans on integrating Dall-E 2 into Bing Image Creator, with the goal of being able to issue a descriptive text prompt and AI artwork is generated in response. Microsoft will also be relying on GPT to suggest related queries and provide more meaningful answers than the Featured Snippets approach of quoting a source. The launch of this new Bing version is expected to happen before the end of March, and Microsoft is essentially footing OpenAI’s cloud bill for ChatGPT which can be an expensive technology.

Possible Challenges Microsoft May Face When Using ChatGPT

Microsoft may face several potential challenges when using ChatGPT. Firstly, Microsoft must ensure the accuracy of answers provided by ChatGPT, which may be difficult if the technology is not capable of continuously scraping the web or providing real-time information like a search engine does. Additionally, Bing must be able to suggest related keywords for users to find relevant answers, as well as explain the relevance of these keywords to the original query. Finally, Microsoft must find a way to make the AI technology accessible for free, as OpenAI plans to eventually charge for ChatGPT and Microsoft may be footing the startup’s cloud bill.

Potential Benefits of ChatGPT’s Integration Into Bing

The potential benefits of ChatGPT’s integration into Bing are numerous. With this integration, Bing could offer more accurate and relevant search results, as well as more natural language processing capabilities. It could also provide users with more personalized search results, as well as suggestions for related queries. Additionally, the integration could enable Bing to better suggest keywords for related searches, which would help users find the information they are looking for more quickly. Finally, as Bing is one of the only ways to access parts of GPT for free, this integration could also make GPT more widely available.

The potential of ChatGPT to revolutionize the way we search and interact with the internet is exciting to consider. This technology could provide far more accurate answers to our questions, as well as suggest related topics we may not have thought of. With Microsoft’s commitment to developing this technology, we may soon be able to access GPT for free through Bing. It will be interesting to see how Bing ensures the accuracy of answers and how this technology can improve our online experience.

FAQ

Q: What is ChatGPT?

A: ChatGPT is an artificial intelligence technology developed by OpenAI that is capable of generating natural language responses to queries. It is said to be capable of providing answers to complex questions that traditional search engines may not be able to answer.

Q: What are the implications of ChatGPT?

A: ChatGPT has prompted some to proclaim that AI chat will kill traditional search engines. Google is said to be at “code red” over the technology, while Microsoft is reportedly preparing to launch a version of its Bing search engine that uses the artificial intelligence behind ChatGPT.

Q: How is ChatGPT being used?

A: ChatGPT is being used by Google and Microsoft to improve their search engines, with Google reportedly being at “code red” over the technology. Microsoft is preparing to launch a version of its Bing search engine that uses ChatGPT to answer some search queries. It is also being used to generate artwork in Bing Image Creator.

Q: What else can ChatGPT do?

A: ChatGPT can suggest related queries to the original search query and provide explanations for the relevance of certain topics. It can also help Bing do a better job of suggesting other keywords users could type to see answers to related searches.

Q: What applications does it have?

A: ChatGPT is currently being used to provide search query suggestions as users type, as well as generate AI-backed answers to some questions. It is also being used to create AI artwork by issuing descriptive text prompts.

Q: Is it free?

A: Microsoft has announced plans to incorporate aspects of GPT into its Bing search engine, making it one of the only ways to access parts of GPT for free. OpenAI plans to eventually charge for ChatGPT, which is expensive.

​​Q: What are some applications of ChatGPT?

A: ChatGPT can be used to help search engines provide more accurate and personalized results. It can also be used for automatic query suggestions, image generation, and providing more relevant answers to related searches.

TL/DR

ChatGPT is a new artificial intelligence technology that has prompted some to proclaim that it will replace traditional search engines. Google and Microsoft are said to be taking steps to incorporate GPT into their search engines. Microsoft has already announced plans to integrate Dall-E 2 into its Bing Image Creator, and is preparing to launch a version of Bing which will use GPT to answer some search queries. It remains to be seen how Bing will ensure the accuracy of the answers it provides, but the new features could launch before the end of March. Microsoft is footing the bill for OpenAI, the startup behind ChatGPT, and Bing might be one of the few ways to access GPT for free.

<p>The post Microsoft’s Bing Search Engine to Leverage AI-powered ChatGPT Technology! first appeared on Prompt Muse.</p>

Software Used

Katteb

Creaitor

Transcript

Hi, guys. Today I’m going to be making a tutorial on how to create original quality ranking content for ecommerce stores or in your affiliate store. This method can be extended to any other type of content creation, actually. So what I will be doing is be taking a random product from here and creating content out of it. This is actually the Argos website, so to get started, I’ve created a dummy page.

This is my Prompt Muse new store for selling and buying furniture. So to get started, we’re going to be using a fabulous programme that I wrote about previously, actually. But I want to start doing a series of tutorials, and that is Katteb, and we’re going to be using a function of theirs, Credible Writer. What makes this difference to all the other AI tools is basically an issue that happens with a lot of AI tools is it makes things up. The information that is in the output, the results of the AI writing, cannot be fully trusted because a lot of the numbers, stats, date figures, prices, specifications, a lot of it is just gibberish.

This is what Keteb stands out a there or their other templates for long form content is fact checked, so you don’t have so much of an issue with it making things up. But more specifically, what we have here with Credible Writer is we can ask the AI to do certain instructions, but only use one URL as a source. Obviously, you could also use other things like PDFs and docs if you parse them and give them a URL. But for this, we’re just going to be using it as a normal standalone URL and we’re going to be making our content from the Argos catalogue. So, as mentioned, this is the website I made just for the demo purpose.

And I’ve created a product page using advanced custom fields. If you want me to go into details on how I did that, we could do that for another tutorial, let me know down below. But for this case, we’re just going to be doing product descriptions, specifications, and here’s one I made earlier. So we got original content here about the product information, a table FAQ and even client reviews. So I’m going to show how I made all of that out of the Argus catalogue.

So, to get started, let’s pick a random. I don’t know what would be. Let’s have a look at the beds.

So you could do this with any product. So let’s start by taking these pictures from my new website. I don’t recommend stealing pictures from websites. This is just for demo purpose, so make sure that the images that you use, you have the rights to use them a few moments later. All right, so first thing we need to do is take the URL of the web page that we’re working from and then go over to Katab and put it in there.

So what we want first is a description.

So you get the command here. Write a happy product description. So tell the voice and what it’s doing.

I found if you do enthusiastic, it starts throwing and where it’s like, Whoa, hey. And all that. So we’ll stick with happy. Write a happy product description. And we want it to be a paragraph.

There we go. The programme is for smaller bedroom providing classic style. Perfect. So let’s take that and put it over to our new product page. There, we done.

Description done. Now we want a table. So what I did here is we can take this information, which is they’ve done as a listicle, and we’re going to make this into a table.

I’ll actually use another programme for this. So this is creative AI. They have a thing similar to Jarvis, where you can just tell the AI what you want it to do and like magic, it will just provide it back. So create a two column HTML table with this information.

Paste that in there, create and there we go. Single bird mattress.

So that one looks better because it’s got the headings. So let’s take that and we’ll paste that in here. Voila. FAQ. So we’re going to go back over to Katab and we’re going to say, using the URL again, product FAQ.

And we’re going to change that over to FAQ. And we want this to do three variations. It will give us some duplicates, but we will delete them. Super. How big is the bed?

Does it come with mattress? Is it suitable for adult use? Are there any other products collection? These are quite good. What is a Brooklyn made of?

Is there a ladder? No duplicates yet. All right, one duplicate. Awesome. So let’s take that and put that over into our product list.

Let’s knead this up a bit by highlighting questions and making them bold. Okay, and now onto product benefits. We’re going to need at least five of these and they to have titles. So let’s do product benefits with subheadings. It would help if I could type and maximum variations and paragraph.

And let’s run that few times to see what we get. Awesome. So let’s just paste this in, copy that, bring it over, paste it, do a space, make that a heading and then add an image. When adding images, make sure that you use the Alt tag as the product title for as the keyword for SEO purposes. And done.

And then just do that to the other couple. And then we can move on to reviews. For the review, we want it to be first person customer review positive. Let’s generate that with the reviews. I noticed that it does repeat the start.

So the way to get around that is just delete the first sentence.

These are kind of similar and let’s delete that one.

And then all we need to do is copy that and paste it into our reviews. And then put it in bracket quotation marks and give it a customer name. Obviously, I don’t advise on doing fake reviews, but this is one way to do it if you did want to do it. And that’s it. Now we simply save and preview.

And there we go. Our five minute product page is complete.

Specifications FAQ. We have our reviews. I ran that through Market News. It got a 36 out of 36, which actually beat the Argos one argos got 32. And if we’re comparing it to all the other companies that go after this keyword, we are beating nearly all of them.

Apart from this one website, which is knocking it out of the park. I did a plagiarism. Cheque 94% unique. The 6% is kind of expected because you’re talking about a product, so things like titles and stuff are going to be similar. And then I ran it through an AI writing detector, and it says it’s 100% generated by humans.

Awesome. And that’s it. That’s how you create your 100% original nonplay to write 100% human written SEO. Focus product Page contents under ten minutes. Any questions or tutorial ideas, feel free to comment below and take care.

FAQ

Q. What is Keteb?

A. Keteb is an AI-based program that helps create original and fact-checked content for ecommerce stores and affiliate stores. It helps create content such as product descriptions, specifications, tables, FAQs, and reviews quickly and accurately.

Q. What makes Keteb different from other AI tools?

A. One of the main differences between Keteb and other AI tools is that the information in the output from Keteb’s Credible Writer function is fact-checked, so you don’t have to worry about it making up inaccurate numbers or stats.

Q. How can I use Credible Writer to create content?

A. With Credible Writer, you can give instructions to the AI program to use one URL as a source when creating content such as product descriptions or specifications. You can also use other sources such as PDFs or documents if you parse them into a URL format first.

Q: How do I create a product page for my store?

A: You can use advanced custom fields to help you create a product page for your store quickly and easily. To learn more about this process in detail, check out our tutorial series on creating original quality ranking content for ecommerce stores or in your affiliate store!

<p>The post Creating SEO-Optimized AI-Generated Product Pages in 10 Minutes or Less – A Tutorial first appeared on Prompt Muse.</p>

Links:

https://beta.openai.com/docs/api-reference/completions/create

https://landbot.io/

FAQ

Q: What is an AI Image?
A: An AI image is a computer-generated image created using Artificial Intelligence (AI) technology. AI images are usually created using powerful tools such as Dalle-2 API and Landbot.io, which allow users to create stunning visuals by harnessing the power of AI.

Q: How do I create an AI image with WhatsApp?
A: You can create an AI image with WhatsApp by using Dalle-2 API and Landbot.io. First, you will need to get a Dalle-2 API key and set up a Landbot account. Then, you can use the step-by-step guidance in our YouTube tutorial to guide you through the process of creating stunning visuals with these powerful tools.

Q: What tips and tricks should I know when creating AI images?
A: When creating AI images, it’s important to pay attention to the details and make sure that your images are accurate and aesthetically pleasing. It’s also important to choose the right resolution for your images, as this will affect their quality and usability. Additionally, make sure to store your AI images for later use by using cloud storage or your own computer system.

Q: What are the best practices for managing and storing my AI images?

A: The best practice for managing and storing your AI images is to store them in an organized and secure manner. Make sure that you back up your images regularly in case of any technical issues and use good password protection techniques to keep them safe from unauthorized access. Additionally, consider deleting any unused or outdated images to keep your storage space organized.

Transcript:

Hi, guys. Welcome to another tutorial by prompt news. Today we’re going to be making a GPT-3 image creator right into your WhatsApp. So this is going to be similar to mid journey, stable diffusion, but it’s going to be powered by Dolly and WhatsApp. So no other applications in your way, just on your phone, make an image.

Yeah, do what you will. So to start with, we’re going to need a couple of things. We’re going to need a Daly, two API key and a Land Bot account. Landbot does have a I think it’s 14 day free trial, so we’re going to be using that in this demo. Before I start, I would just like to point out that we now have a new community section within our website where we can share rate and get ideas about prompts from our own images and other peoples.

So dive in, enjoy that and I hope to see around there. Anyway, moving on. First of all, we’re going to need to create an account with Land Bot. The website is Landbot IO. So make your way over to their website and sign up for free.

Once in, you will be created by a wizard type thing asking your name, your company, just click pass. That not really needed. Anyway, once you’re in, go to the dashboard, little picture of the robot, click build chatbot. And we want a WhatsApp? We want a WhatsApp?

What are these called? I forgot. Flow diagram thing from scratch. So this is what it’s going to give you to start off with. Click past that.

So user input. This is going to be default. That’s fine. We don’t need to change anything there. And then we want the next one to be text.

Click on it, you don’t drag. And so this is going to be the question that the application in our WhatsApp is going to ask us. So let’s try and make it a little bit cool. What image can I make, my lord? Because I have a complex, obviously.

That’s all good. And we’re going to call that prompt. If I could spell promp and then apply. Just make sure that’s saved. Good.

Let’s drag this green line. It’s been a bit funny. Go away. Drag this green line down and connect. The next step is we’re going to need to get a web hook.

So this is basically connecting our app that we’re making on WhatsApp over to our Daly two API. So let’s just close that and type web hook and click. I always drag it. I don’t know why. So the information that we need here is going to be populated from API reference.

So the web address for this is if I can pull this down, beta openai.com, docsapi referencesimages. I’ll include that in the description. Cool. So down the side, we want to go down to images. And let me have a quick look.

Yeah, this is what we need. So it’s a post. It’s going to be posting. We need that URL. I’ll take that while I’m here.

And we’re going to need this information as well. So if I hop over to my other tab, move it up a little bit, put that in here.

Then we have our custom headers. So what we need here is pop over here again. Content type application JSON Actually, I think that’s prewritten. Yeah. So as a content type, capital type, then application Jason.

Application Jason. Awesome. Now we need our authorization. So this is going to be our key authorization. If you note here, they say Bearer and then the API key.

So make sure you type bearer before bearer and then your API key. I’m just going to pause the video while I get my API key. Hang on a second. Actually, no, I’ll do it with you guys here. So my API go over to your API keys.

So this is in your account. APIs keys at OpenAI. I’ll create a new one with you. I’ll delete it anyway. I’ve reached a max.

Revoke, revoke. Okay, there we go. There’s my new key. Get back over and paste that in.

Awesome.

Let’s save that and put that there. Okay, next we need to do send parameters, custom headers. We’ve done that. We’ve done that. Customise the body.

So go over back over to the reference page. And we want to drag this or actually just click Copy Simple Things. And we can paste that in here. So this is basically saying the prompt. This is the request that we’re sending to the API.

So it’s giving the prompt, the number of images and the resolution. So first of all, let’s delete prompt. Unless you just want an app that makes otters. I don’t judge. And we’re going to add our variable that we created earlier.

We call that prompt. We want one image, and the size is great.

We’re going to test that. 500 errors. So this is basically I haven’t added a phone number yet, so let’s click apply, Test, publish, first name, alex O.

Okay.

All right, cool. All good. So that ping you heard was my Web. WhatsApp? Just saying.

I got a message from them. Let’s close that. Once we’ve added our phone number, then we pop back over to Webhook and then test your request. We want to click the little button, load up our prompt variable, and we’re going to give it a value. The reason we’re going to give it a value now is we need to just have something there for land bots to allow us to give it a name.

That makes sense. Better in a second. So a happy man. Okay. Test or request.

Having a think. Scroll down. Here we go. So we got this information provided when it’s created. And the URL, the only information here we want is the URL.

So we need to give that a name. So click save, responses, variables, find that URL. URL will be the one without any Google lead brackets or anything before. So in this case, it’s this one for me. And we are going to give that a name.

In this case we’re going to call it Response.

There we go.

That’s a string, by the way. If it does ask you what type of variable it’s a string, then apply we’re good. On to the next. So the next one is we’ve got the request from the API. It’s sending the information, it’s creating the image, it’s sending it back.

Now we want to send it to what’s up? To do that close here, go to messenger. I already have. That saved me. SS.

Click it. So the information that it’s sending is going to be an image, of course, because it’s a picture. So let’s click Media, click the pencil from URL, and then we can click our variables, actually. And we called that Response, didn’t we? Response.

So that will get the URL of our picture. Click Send, tie them up, good to go. Publish. And then we can test our application. So here we go.

Test. Let’s send the test to Alex pinged. Your chatbot is ready for testing. Send a message or click the button to start testing. Okay, what image can I make, my Lord?

Let’s make a pink unicorn on a bike. Obviously, you can do your normal things like ultra realistic, 50 millimetre lens, etc. Send the off. Wait a couple of seconds. Usually takes about five to 10 seconds.

There we go. Fantastic. We’ve got my image. So, yeah, I’d be interested to see what you can do with this. And I would like to thank Mr.

Hackathon for his his tutorial on this. This was completely his idea and yeah, awesome. Stay cool. Take care.

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The information age

In this age of big data, discovering all kinds of information has never been easier – just type it into Google! I can’t remember the last time I visited the library. The search giant has revolutionized how we find what we are looking for and Alphabet has profited quite well from this. With its complex Page Rank algorithm, regularly tweaked to serve users with more relevant results, Google remains the top search provider, for now. But what if a rival could challenge their position? Other search providers exist, but they have yet to match Google s appeal – they just imitate what’s already out there. Could they revolutionize the sector and unseat Google as the go-to?

David Vs Goliath

Enter David… I mean ChatGPT.

ChatGPT is based on deep learning and a type of deep learning model known as ‘transformers’, which, when trained on large datasets with many-layered networks, can understand text very effectively – all thanks to the ‘attention’ feature that gives the model a headstart on deciding which parts of the input data are most important. Could Google’s dominance be threatened? We’ll have to wait and see!

A new way of Surfing

Your phone can already autocomplete text messages as you type! But, if you keep accepting the suggested words, soon it will run out of steam and repeat itself. That’s why ChatGPT is the new, hot technology that’s making waves in the search engine industry. OpenAI has made it available as a free research preview, and it’s already helping developers debug their code. Plus, it’s interactive and reveals the answer in full, so it feels like you’re having a conversation instead of clicking on links. 

But with that said, Google’s got its very own, transformative natural language model – LaMDA! But, they’ve been taking things slow when it comes to releasing it. We can only guess why. Google can effortlessly serve up search results to countless users in an instant. They’ve been fine-tuning the whole shebang for years to ensure their profits are sky-high. But, AI models such as ChatGPT and LaMDA are resource-hungry and making a loss (for now), and that might be putting the brakes on their success.

Monetization

The exciting possibilities of ChatGPT have users buzzing! But with all these hundreds of thousands of queries, comes a large price tag, and as of right now, ChatGPT is picking up the bill. From a business standpoint, Google is safe as long as ChatGPT is a loss-making endeavour, but with a successful monetization model, everything could change. ChatGPT’s immense popularity is showing off the power of current AI, and some users may be willing to pay for its services – which would be a cause for concern for Google if they can’t compete. The potential of ChatGPT is simply incredible – and it looks like it could be a real game-changer!

Conclusion

In conclusion, it is clear that ChatGPT has a lot of potential for becoming a formidable competitor against Google in the realm of AI technology. However, ChatGPT is going to need to find a feasible and effective monetization technique if it hopes to truly challenge Google. Google, meanwhile, is not sitting idle and has its own AI, LaMDA, which it has yet to unveil. This means that Google still has a trick up its sleeve and could be a formidable foe if ChatGPT fails to find a suitable monetization strategy. Ultimately, only time will tell which AI technology will prevail.

<p>The post Can ChatGPT dethrone Google? first appeared on Prompt Muse.</p>