https://arxiv.org/pdf/1706.03762.pdf
http://jalammar.github.io/illustrated-transformer/
https://towardsdatascience.com/attention-is-all-you-need-discovering-the-transformer-paper-
https://lilianweng.github.io/lil-log/2018/06/24/attention-attention.html
http://nlp.seas.harvard.edu/2018/04/03/attention.html
https://github.com/jadore801120/attention-is-all-you-need-pytorch
https://www.youtube.com/watch?v=S27pHKBEp30&ab_channel=SeattleAppliedDeepLearning
https://gist.github.com/leopd/
https://github.com/huggingface/transformers
https://keras.io/examples/structured_data/movielens_recommendations_transformers/
https://towardsdatascience.com/attn-illustrated-attention-5ec4ad276ee3
https://towardsdatascience.com/illustrated-self-attention-2d627e33b20a
https://towardsdatascience.com/the-definitive-guide-to-bi-directional-attention-flow-d0e96e9e666b
https://towardsdatascience.com/illustrated-guide-to-transformer-cf6969ffa067
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