4 ms·
IMVHO, GANs are entirely optional. For others, https://web.stanford.edu/~jurafsky/slp3/ https://web.stanford.edu/~jurafsky/slp3/ will take you a decent way to
by barrenko 3y ago
IMVHO, GANs are entirely optional.
For others, https://web.stanford.edu/~jurafsky/slp3/ https://web.stanford.edu/~jurafsky/slp3/ will take you a decent way to understanding transformer architecture.
- philsnow 3y agoAn earlier edition of this book was the textbook for a computational linguistics course I took back in ~2002 (!), it's amazing how much has been added
- lhl 3y agoFor specifically understanding transformers, this (w/ maybe GPT-4 by your side to unpack jargon/math) might be able to get you from lay-person to understanding enough to be dangerous pretty quickly: https://sebastianraschka.com/blog/2023/llm-reading-list.html https://sebastianraschka.com/blog/2023/llm-reading-list.html