GPT stands for Generative Pre-trained Transformer, are a family of neural network models that uses the transformer architecture and is a key advancement in artificial intelligence (AI) powering generative AI applications such as ChatGPT. GPT models give applications the ability to create human-like text and content (images, music, and more), and answer questions in a conversational manner.

Generative – It can create new content, like text, stories, or code, rather than just retrieving stored information.

Pre-trained – Before you ever interact with it, GPT is trained on a massive amount of data.

Transformer – That predict next word, character etc. Best example is Google Translate that worked on transformer and convert one language to another.

For Example You Have A Talking Teddy Bear

Imagine you have a talking teddy bear at home.
But this teddy isn’t ordinary — it has read and heard some stories, songs, and conversations.

Because it knows so much, your teddy can:

Tell you bedtime stories

Make silly jokes

Even sing you songs it’s heard before

How the Teddy (GPT) Works

When you talk to your teddy and say,

“Tell me a story about a cat who play.”

It remembers patterns from all the stories it has learned.
It puts those patterns together to make a brand-new story just for you.

Your teddy isn’t thinking like humans do.
It’s just really good at guessing the next word based on everything it has learned before.

In real life, GPT is like that magical talking teddy bear. You type something, it “hears” you, guesses the best words to say next, and replies instantly.

Happy Coding 💥