Article:Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
Neural Machine Translation by Jointly Learning to Align and Translate
In this paper, Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio propose an approach that resolves the fixed-length vector bottleneck in encoder-decoder translation models through soft search.
From Video: Building an LLM from Scratch: Neural Networks, Tokenization, and Transformers