AI Beginner Guide – Learn how to use Chat GPT


Welcome to this SUPERCHARGED BY AI guide

Welcome to this Chat CPT-3 beginner AI course! If you’re new to the world of chatbots and prompt engineering, you may be wondering where to begin. That’s where this course comes in.

GPT-3 (Generative Pre-training Transformer) is a revolutionary natural language processing tool developed by OpenAI. It has the ability to generate human-like text, complete tasks, and even create original content. This makes it an incredibly powerful tool for chatbots and other language-based applications.

But with great power comes great responsibility. In this course, we’ll be covering the basics of GPT-3 and how to get started. We’ll go over key concepts such as training data, fine-tuning, and deployment, as well as best practices for using GPT-3 to enhance your chatbot’s conversational capabilities.

By the end of this course, you’ll have a solid understanding of GPT-3 and how to use it to create a chatbot that truly stands out. So let’s get started!

Table of Contents

Introduction to AI Models: GPT, GPT-3, and DALL-E

Artificial intelligence (AI) has come a long way in recent years, with numerous models being developed to tackle a wide range of tasks. Some of the most well-known AI models include GPT, GPT-3, and DALL-E.

In this guide were are focussing on Chat GPT. GPT, or Generative Pre-training Transformer, is an AI model developed by OpenAI that can generate natural language text. It has been used for tasks such as machine translation, question answering, and language modeling. GPT-3, or Generative Pre-training Transformer 3, is an upgraded version of GPT with a larger dataset and more advanced capabilities. It has been used for a variety of tasks, including language translation, content generation, and even creating new AI models.

Dali, or DALL-E, is another AI model developed by OpenAI that can generate images from textual descriptions. It has been used to create everything from realistic images of animals and objects to surreal and abstract art.

Overall, these AI models are extremely powerful tools that have the potential to revolutionize many different fields. However, they can also be very complicated to understand and expensive to create, making them out of reach for many people.

What is prompting and how can it help generate amazing results?

One way to leverage the power of these AI models is through prompting. Prompting is the process of telling the AI what you want and how you want it, usually done with words. It’s like hiring an artist and trying to describe what you want with the best words possible, or like using a search engine and entering the right keywords to get the results you’re looking for.

With prompting, you can use these AI models to generate a wide range of results. For example, you could use GPT to generate a story or an article, or use Dali to create an image based on a textual description. The possibilities are nearly endless, and as these models continue to improve, the results are only getting better.

However, it’s not always easy to get exactly what you want from these models. That’s where prompt engineering comes in.

The importance of prompt engineering in AI communication

Prompt engineering is the task of finding the best prompts to get the best results from the AI. It’s like being an expert at using a search engine – you know what the search box is expecting and which keywords to use to get the best results. In the same way, a prompt engineer knows how to translate your ideas into words that the AI can understand.

Prompt engineering is a crucial skill to have when it comes to working with AI models. Without it, you may struggle to get the results you want, or you may end up with results that are not quite what you had in mind. On the other hand, if you have strong prompt engineering skills, you can use these models to their full potential and achieve truly amazing results.

How to create an open AI CHAT GPT account

If you want to use OpenAI’s GPT chat model to generate chat responses, the first thing you will need to do is create an OpenAI account. In this section, we will walk you through the process of creating an OpenAI account and obtaining an API key, which you will need in order to access the GPT chat model through the API.

To create an OpenAI account, follow these steps:

  1. Go to the OpenAI API website (
  2. Click on the “Sign Up” button in the middle of the page.
  3. Fill out the registration form with your name, email address, and password.
  4. Agree to the terms of service and privacy policy.
  5. Click the “Sign Up” button to complete the registration process.

After you have signed up, you will need to verify your email address by clicking the link in the verification email that was sent to you. Once your email has been verified, you can log in to your account on the OpenAI API website.

How to create an open AI CHAT GPT API account

To obtain an API key, follow these steps:

  1. Log in to your OpenAI account.
  2. On the dashboard, click on the “Create API Key” button.
  3. Select the “GPT-3” product from the dropdown menu.
  4. Choose the pricing tier that you would like to use. There are several options available, with different usage limits and pricing.
  5. Click the “Create API Key” button to generate your API key.
  6. Your API key will be displayed on the screen. Make sure to copy it and keep it safe, as you will need it to access the GPT chat model through the API.

That’s it! You now have an OpenAI account and an API key, which you can use to access the GPT chat model through the API. You can now start using the GPT chat model to generate chat responses in your chat application or project.

How to get the best results out of Open AI's GPT-3 API

Use a clear and concise prompt

GPT-3 works best when given a clear and concise prompt that specifies the task you want it to perform. Avoid using overly complex or ambiguous prompts, as these may result in confusing or unrelated output.

Use appropriate temperature

GPT-3 has a “temperature” parameter that controls the randomness of the generated text. A higher temperature will result in more creative and varied output, while a lower temperature will produce more predictable and coherent text. Experiment with different temperature settings to find the one that works best for your needs.

Use appropriate context

GPT-3 is able to generate text that is coherent and flows naturally when given appropriate context. When using the model for language generation tasks, consider providing it with additional context or background information to help it produce more accurate and relevant output.

Use appropriate constraints

GPT-3 is able to generate text in a wide range of styles and formats, but it is not always possible to control the specific content or structure of the generated text. Consider using additional constraints, such as keyword lists or grammatical rules, to guide the model’s output and ensure that it meets your needs.

Monitor the output

Always review the output of GPT-3 carefully to ensure that it is accurate, appropriate, and relevant to your needs. If you notice any problems with the output, consider adjusting the prompt, temperature, or other parameters to improve the model’s performance.

Example prompts

Check out our AI Prompts Library and get inspired to boost your productivity with AI.