01 course-introduction (4.41 MB)
01 positional-encoding (11.16 MB)
02 attention-mechanism (11.99 MB)
03 self-attention-mechanism (11.99 MB)
04 from-attention-to-transformers (11.07 MB)
05 transformers-for-classification-encoder (14.87 MB)
01 language-modeling-with-the-decoders-and-gpt-like-models (11.12 MB)
02 training-decoder-models (11.29 MB)
03 decoder-models-pytorch-implementation-causal-lm (13 MB)
04 decoder-models-pytorch-implementation-using-training-and-inference (10.61 MB)
01 encoder-models-with-bert-pretraining-using-mlm (8.81 MB)
02 encoder-models-with-bert-pretraining-using-nsp (9.91 MB)
03 data-preparation-for-bert-with-pytorch (17.25 MB)
04 pretraining-bert-models-with-pytorch (17.99 MB)
01 transformer-architecture-for-language-translation (7.87 MB)
02 transformer-architecture-for-translation-pytorch-implementation (15.56 MB)