Introduction To Transformers For Nlp: | With The ...

: A 2023 review that demystifies the architecture by breaking it down into its core components for beginners.

(2017): The seminal paper by Vaswani et al. that first introduced the transformer architecture, replacing traditional recurrent networks with the self-attention mechanism. Introduction to Transformers for NLP: With the ...

: A systematic review from 2024 that highlights how these models solve various NLP problems across different languages and domains. : A 2023 review that demystifies the architecture