A very good paper I came across this morning by the @DeepMind researchers. For the past five years Transformers have been one of the most dominant approaches to Deep Learning problems, especially in the #NLP domain.
1/5
1/5
However, despite many interesting papers on the topic, and lots of good open code, there has been a noticeable lack of *formal* definition of what transformed are, especially on the level of pseudocode.
2/5
2/5
This paper aims to rectify that. It provides pseudocode for almost all major Transformer architectures, including training algorithms.
3/5
3/5
One of the main benefits of having this pseudocode available is for the researchers who want to expand and modify some aspects of the transformer architecture, and go beyond any particular framework or even ML paradigm.
4/5
4/5
Link to paper: arxiv.org/abs/2207.09238
#MachineLearning #DeepLearning #ArtificialIntelligence #ML #DL #AI
5/5
#MachineLearning #DeepLearning #ArtificialIntelligence #ML #DL #AI
5/5
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