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

For a broader introduction to the field, these resources are also highly recommended:

: A high-level overview detailing how transformers became the go-to architecture not just for NLP, but also for computer vision and audio processing. Introduction to Transformers for NLP: With the ...

(2017): The seminal paper by Vaswani et al. that first introduced the transformer architecture, replacing traditional recurrent networks with the self-attention mechanism. For a broader introduction to the field, these

: This survey focusing on practical use explores open-access tools and real-world implementations, specifically where text is the primary modality. 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.

[2311.17633] Introduction to Transformers: an NLP Perspective