Learning Goals Effective modern methods for deep NLP Word vectors, FFNN, recurrent networks, attention Transformers, encoder/decoder, pre-training, post-training (RLHF, SFT), adaptation, interoperability, agents Big picture in HUMAN LANGUAGES why are they hard why using computers to deal with them are doubly hard Making stuff (in PyTorch) word meaning dependency parsing machine translation QA Lectures SU-CS224N APR022024 SU-CS224N APR092024 SU-CS224N APR112024 SU-CS224N APR162024 SU-CS224N APR182024 SU-CS224N APR232024 SU-CS224N APR252024 SU-CS224N APR302024 SU-CS224N MAY022024 SU-CS224N MAY072024