Create a chatbot similar to ChatGPT with these courses

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New technological advances always attract attention. Data science and its applications have been in the spotlight for years. 2023 started off strong with OpenAI launching an AI-based chatbot, ChatGPT. The launch of ChatGPT was a whirlwind, with everyone using it in different ways, challenging the limits of AI and the chatbot itself. This has even prompted other companies like Notion to create better chatbots to challenge and overcome ChatBGT.

Not only companies, but many data scientists, both beginners and experts, have toyed with the idea of ​​creating their own version of ChatGPT to gain more knowledge and experience in building AI-based chatbots or to challenge and enhance their skills. If you’re reading this article, it means you’ve also thought about building a chatbot like ChatGPT, or you’re just wondering what it takes to build such a tool.

This article discusses the knowledge you need to know to create your own version of ChatGPT. But before we move on to the technical knowledge we need to develop a chatbot, let’s talk briefly about what it takes to build a chatbot.

Since we are considering building a chatbot like ChatBGT, which is a web-based chatbot, we will need to consider two parts when designing and building a chatbot. The front end (what the chatbot looks like), what the user interacts with, and the core of the chatbot (the backend), or what we call the brain of the chatbot.

Let’s dive into a few courses that will give you the knowledge you need to build an AI-based chatbot that looks good and functions well. Next, we provide a tutorial for each element to give you all the tools you need to build your ChatGPT.

First, we’ll start with what it takes to create a chatbot look; The more proactive your chatbot is, the better the user experience will be. So what do you know to create a good UI for your chatbot?

UI design

There are two aspects of website appearance: general aesthetics and intuitive design. The experience of a website (in our case a chatbot) is the UI (User Interface) design.

When you’re building a chatbot, it’s essential to know the fundamental principles of user interface design. This course offered by CalArts will teach you the basics of UI design.

UX design

A beautiful design with color is good, but if it is difficult to navigate, then its appearance means little. Here’s to knowing the basics of UX (User Experience). UX is the art of designing apps that are easy to navigate and use, providing a better experience for everyone who uses that app. For example, if we want to create a good chatbot, it should look good and be simple and intuitive. CalArts also offers a course to help you gain the knowledge you need to create a chatbot with good UX.

HTML and CSS

Since we are trying to build web-based, we need to know how to build web applications. This means we need to know HTML and CSS. Of course, today we can use many services to help develop a website without writing HTML or CSS.

But knowing them gives you more control over what you build and its details. This CodeAcademy course will help you learn the basics of HTML and CSS. Or you can check out Coursera’s tutorial project which you can complete in 2 hours.

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Now that we’ve created what the chatbot looks like, let’s move on to building its brains. We want to create an AI-based chatbot, so they need to master the basics of data science, programming and AI. We can divide the brain of ChatGPT into two parts, the data science basics and the chatbots core. Now let’s look at each of them in a little more detail.

Fundamentals of Data Science

Programming and mathematics

Data science and all its applications are based on some knowledge of mathematics (probability theory and linear algebra) and programming. However, if you already know the basics of data science, you can skip this step and skip to the bottom of the chatbots section.

If ChatGPT is interested in starting your journey into data science applications, this course from Harvard University can help you get the math and programming knowledge you need to build chatbots!

machine learning

Once you’re comfortable writing code and knowing the math, we can now move on to one of the fundamental building blocks of any data science application, machine learning. Machine learning is a collection of algorithms and techniques used to improve the intelligence of computers. You can learn the basics of machine learning using this course from Stanford University.

The core of chatbots

Chatbots are a category of data science, namely natural language processing, which aims to create a system to talk to the user. When chatbots can be divided into three categories based on their main functionality:

1. Simple NLP ChatBots.
2. Implication-based ChatBots
3. Intelligence-based ChatBots

The first type is a basic chatbot with a simple conversation with the user; The second type is often used to solve customer problems. These are usually helper bots on most websites. Finally, the third type simulates and predicts how the user can interact with the interface. If we take a closer look at ChatGPT, we will notice that it is a mixture of these three types. To build an AI-based chatbot, we need to know the basics of Natural Language Processing (NLP), AI and building a chatbot.

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natural language processing

This Udemy course will get you comfortable with NLP, what it means, its basics, and its various applications, including chatbots.

Chatbot Basics

Covering the basics of NLP is the first step to building a chatbot. Once you know the basics, we can go into more detail on how to design and build chatbots, mostly using this course.

Artificial intellect

In order for your chatbot to feel realistic and have interesting conversations with the customer, the chatbot needs to be intelligent or similar to human intelligence. We will use AI for this. Hence, we need to learn how to apply AI techniques to our chatbot. This DeepLearning.AI course covers the basics of AI and how to use it to build chatbots.

ChatGPT has been in the media spotlight lately for good reason. This is clear evidence of how powerful technology can be. It proves that we can create great tools that make our lives easier and challenge us to be better and perform at the same time.

ChatGPT has piqued the curiosity of so many people, both in tech and beyond, to know how such a tool could be built. While some may feel that developing such a tool should be difficult, the basics of building a chatbot are simpler than they seem.

This article discussed what you need to know to create a chatbot like ChatBGT. So, the next time you have a free weekend, you can try building a chatbot; Maybe the chatbot result will be the one to compete with ChatGPT!

Sara Metval is a doctor. candidate at Keio University is researching ways to test and debug quantum circuits. I’m an IBM research intern and a Qiskit advocate helping to create a more quantum future. I’m also a writer for Medium, Embedded, She Can Code, and KDN, and write articles on programming, data science, and technical topics. I am also a leader in the international chapter of Woman Who Code Python, a train enthusiast, traveler and photography enthusiast.