🔧 How Transformer Architecture Works — Encoder, Decoder, Tokens, and Context

Transformers changed NLP because they stopped treating text as a simple left-to-right chain.

Instead of reading one token at a time, they compare tokens directly.

That shift made modern language models faster, more scalable, and better at understanding context.




Core Idea


A Transformer is a sequence-to-sequence architecture.

It maps...