By skyforbes 
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Let’s be real, ChatGPT doesn’t “think” like a human. It doesn’t feel, ponder, or overthink. It predicts the next word. And somehow, with trillions of calculations, it convinces you it’s having a conversation. It’s like watching a magician who only uses math but somehow makes it feel human.
Buckle up. We’re going inside the brain of ChatGPT, layer by layer, token by token.
The Magic Wand: Transformer Architecture
Here’s where the fun begins. ChatGPT runs on a transformer, a neural network design that tore up the old rules of language AI. Unlike boring old models that read text one word at a time, transformers look at the whole sentence at once. How? Self-attention.
Every word can “peek” at every other word and figure out its importance. In “The cat sat on the mat,” the word cat knows what sat is doing. Wild, right?
Key Transformers Tricks
- Self-Attention: Every word spies on all the others to gather context.
- Multi-Head Attention: Not one, not two, but many attention heads each see the text differently. Grammar, meaning, nuance, you name it.