NLP, Artificial Intelligence, Machine Learning, Data Science, Transformers.
and right-to-left dependencies. Eventually, Encoder-Decoder RNNs [2014] emerged, where an RNN creates a document embedding (i.e. the encoder) and another RNN decodes it into text (i.e. the decoder). Transformer [2017]: an encoder-decoder model that leverages attention mechanisms to compute better