Unveiling the Secrets of Transformer Architecture: Encoding Context, Decoding Insights

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. A Transformer is a sequence-to-sequenc