Let’s understand AI jargons over a cup of chai ☕ — in a fun and chill way 😌, we’ll explore how AI actually works behind the scenes 🔍. By the end of it, you’ll realize that AI isn’t some kind of magic ✨. It’s simply a system that makes predictions 📊 based on your input — after being trained on a massive dataset from the internet 🌐. With simple language 💬, relatable examples 📚, and a hot cup of chai — learning AI won’t be boring anymore, it’ll be interesting! 🚀

AI

Artificial intelligence (AI) is a technology that allows machines to mimic human intelligence.

ChatGPT

Models like ChatGPT and Gemini, whatever input we give them, they actually predict the next word or token based on what has been written before.

That means these models guess the next word (or part of a word, called a token) each time, purely based on probability — i.e., what is most likely to come next in that context.

OpenAI

Introduce first model → GPT

GPT

Generative Pre-trained Transformer

• Generative → This model generate something new — like writing text, writing code,, writing poems, etc.
• Pre-trained → The model is already trained on a vast amount of internet data (like books, websites, and articles). So when you talk to it, it’s already trained and ready to respond.
• **Transformer** →This is the name of an AI architecture introduced by Google in 2017.

Transformer models are very powerful at understanding context — meaning what you said, the tone in which you said it, what you said earlier — they take all of that into account.

GPT vs ChatGPT

• ChatGPT → ChatGPT is GPT powered with agent capabilities and memory.
• GPT → GPT is LLM (Large Language Model).

LLM

LLM → Large Language Model

It’s an AI model that is trained to understand and generate human language.