Data Science at Home

More powerful deep learning with transformers (Ep. 84) (Rebroadcast)

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Some of the most powerful NLP models like BERT and GPT-2 have one thing in common: they all use the transformer architecture.

Such architecture is built on top of another important concept already known to the community: self-attention.
In this episode I explain what these mechanisms are, how they work and why they are so powerful.

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References
  • Attention is all you need 
https://arxiv.org/abs/1706.03762
  • The illustrated transformer 
    • https://jalammar.github.io/illustrated-transformer
  • Self-attention for generative models 
    • http://web.stanford.edu/class/cs224n/slides/cs224n-2019-lecture14-transformers.pdf
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    Data Science at HomeBy Francesco Gadaleta
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