ChatGPT Explained: Complete Beginner's Guide
リアクション
2026年06月16日
ChatGPT | Introduction to the Tutorial Masterclass (part 1 to 6)
Part 1 Intro
Part 2 ChatGPT Conversation Conventions
Part 3 Google Talk To Books
Part 4 ChatGPT Workaround for Up-To-Date Statistical Information
Part 5 Choosing a Sales Letter Framework
Part 6 ChatGPT - Ask for Image Prompts
FREE Resources 🛂 ✅ 🎦 💢 ♨️
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👉 SMARTT eLearning free full course library https://bit.ly/3SBrKdq
FREE First Aid manual 👨⚕️👩⚕️
👉 https://www.smartt.me.uk/first-aid-manual/
👉 eLearning Health & Safety courses 🔯 💻
👉 https://www.smartt.me.uk/elearning-courses/
Connect with us on Social Media ✅
👉 https://www.facebook.com/smartt.me.uk
👉 https://twitter.com/SMARTTTRAINING
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Imagine if you could talk to a computer and it replied like a real person — answering your questions, helping you write stories, solve problems, or even create jokes. Sounds cool, right? That’s exactly what ChatGPT does.
In this short eBook, you’ll learn what ChatGPT is, how it works, and how people around the world are using it for fun, learning, and work. Let’s dive in!
Chapter 1: What is ChatGPT?
ChatGPT is an AI chatbot created by a company called OpenAI. It’s designed to understand your questions or messages and give helpful, human-like replies.
The name “ChatGPT” stands for:
Chat – because you interact with it by chatting (typing).
GPT – short for Generative Pre-trained Transformer, which is the type of AI model it uses.
You can think of ChatGPT as a super smart robot that has read a lot of books, articles, websites, and more. It doesn’t “think” like a human, but it can predict what words should come next based on what you ask.
ChatGPT doesn’t have feelings, thoughts, or memories like we do — it’s not alive. But it can give very useful answers that sound natural and intelligent.
A Brief History
ChatGPT was first released in November 2022. But it didn’t just appear overnight — it’s built on years of research in AI and machine learning.
Here’s a simple timeline:
2018: OpenAI released the first GPT (GPT-1), which could generate simple text.
2019: GPT-2 came out. It was smarter and better at writing longer texts.
2020: GPT-3 was released — a huge jump in power and knowledge.
2022: ChatGPT (based on GPT-3.5) became available for public use.
2023–2024: OpenAI released GPT-4, which is even more advanced, and added features like images, voice, and more tools.
How Does ChatGPT Work?
Okay, now let’s get into the fun part: how does it actually work?
1. Training on Data
ChatGPT is trained on a massive amount of text — books, websites, and other written materials. This training helps the AI learn how language works.
But here’s the twist: it doesn’t learn like humans. Instead, it learns to predict what word comes next in a sentence.
For example, if the training data includes the sentence:
“The cat sat on the…”
The AI learns that the next word is likely to be “mat” based on patterns it has seen millions of times.
This process is called machine learning.
2. Understanding Your Input
When you type something like:
“What is the capital of France?”
ChatGPT converts your sentence into numbers (called tokens), then processes those tokens using a complex structure called a neural network — which mimics how our brain processes information.
It analyzes the input, finds patterns, and then figures out what kind of answer would make the most sense based on what it learned during training.
ChatGPT | Introduction to the Tutorial Masterclass (part 1 to 6)
Once ChatGPT understands your question, it creates a reply by generating one word at a time — choosing the most likely next word, then the next, and so on, until the sentence is complete.
It’s like playing a very advanced version of “predictive text” on your phone — but much, much smarter.
4. Fine-Tuning and Safety
After the basic training, ChatGPT goes through fine-tuning where it learns to be more helpful, polite, and safe.
It’s also guided by human feedback (this is called Reinforcement Learning with Human Feedback, or RLHF). Real people test the model and rate its responses, so it can improve over time.
Part 1 Intro
Part 2 ChatGPT Conversation Conventions
Part 3 Google Talk To Books
Part 4 ChatGPT Workaround for Up-To-Date Statistical Information
Part 5 Choosing a Sales Letter Framework
Part 6 ChatGPT - Ask for Image Prompts
FREE Resources 🛂 ✅ 🎦 💢 ♨️
👉 https://www.smartt.me.uk/free-resources/
👉 SMARTT eLearning free full course library https://bit.ly/3SBrKdq
FREE First Aid manual 👨⚕️👩⚕️
👉 https://www.smartt.me.uk/first-aid-manual/
👉 eLearning Health & Safety courses 🔯 💻
👉 https://www.smartt.me.uk/elearning-courses/
Connect with us on Social Media ✅
👉 https://www.facebook.com/smartt.me.uk
👉 https://twitter.com/SMARTTTRAINING
👉 https://www.pinterest.co.uk/northeastltd/_created/
👉 https://www.tiktok.com/@smartt_training
👉 https://www.linkedin.com/company/smartt-north-east-ltd/
Imagine if you could talk to a computer and it replied like a real person — answering your questions, helping you write stories, solve problems, or even create jokes. Sounds cool, right? That’s exactly what ChatGPT does.
In this short eBook, you’ll learn what ChatGPT is, how it works, and how people around the world are using it for fun, learning, and work. Let’s dive in!
Chapter 1: What is ChatGPT?
ChatGPT is an AI chatbot created by a company called OpenAI. It’s designed to understand your questions or messages and give helpful, human-like replies.
The name “ChatGPT” stands for:
Chat – because you interact with it by chatting (typing).
GPT – short for Generative Pre-trained Transformer, which is the type of AI model it uses.
You can think of ChatGPT as a super smart robot that has read a lot of books, articles, websites, and more. It doesn’t “think” like a human, but it can predict what words should come next based on what you ask.
ChatGPT doesn’t have feelings, thoughts, or memories like we do — it’s not alive. But it can give very useful answers that sound natural and intelligent.
A Brief History
ChatGPT was first released in November 2022. But it didn’t just appear overnight — it’s built on years of research in AI and machine learning.
Here’s a simple timeline:
2018: OpenAI released the first GPT (GPT-1), which could generate simple text.
2019: GPT-2 came out. It was smarter and better at writing longer texts.
2020: GPT-3 was released — a huge jump in power and knowledge.
2022: ChatGPT (based on GPT-3.5) became available for public use.
2023–2024: OpenAI released GPT-4, which is even more advanced, and added features like images, voice, and more tools.
How Does ChatGPT Work?
Okay, now let’s get into the fun part: how does it actually work?
1. Training on Data
ChatGPT is trained on a massive amount of text — books, websites, and other written materials. This training helps the AI learn how language works.
But here’s the twist: it doesn’t learn like humans. Instead, it learns to predict what word comes next in a sentence.
For example, if the training data includes the sentence:
“The cat sat on the…”
The AI learns that the next word is likely to be “mat” based on patterns it has seen millions of times.
This process is called machine learning.
2. Understanding Your Input
When you type something like:
“What is the capital of France?”
ChatGPT converts your sentence into numbers (called tokens), then processes those tokens using a complex structure called a neural network — which mimics how our brain processes information.
It analyzes the input, finds patterns, and then figures out what kind of answer would make the most sense based on what it learned during training.
ChatGPT | Introduction to the Tutorial Masterclass (part 1 to 6)
Once ChatGPT understands your question, it creates a reply by generating one word at a time — choosing the most likely next word, then the next, and so on, until the sentence is complete.
It’s like playing a very advanced version of “predictive text” on your phone — but much, much smarter.
4. Fine-Tuning and Safety
After the basic training, ChatGPT goes through fine-tuning where it learns to be more helpful, polite, and safe.
It’s also guided by human feedback (this is called Reinforcement Learning with Human Feedback, or RLHF). Real people test the model and rate its responses, so it can improve over time.
