Building a Minimal Transformer From Scratch in PyTorch — and Comparing It With an RNN
Building a Minimal Transformer From Scratch in PyTorch — and Comparing It With an RNN In the previous article, we explored the idea behind Transformers: instead of processing a sequence strictly one element at a time, a Transformer uses self-attention to model relationships between positions in that sequence. But understanding an architecture on paper and…