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Here's our Dec 30, 2021 draft! This draft includes a large portion of our new Chapter 11, which covers BERT and fine-tuning, augments the logistic regression chapter to better cover softmax regression, and fixes many other bugs and typos throughout (in addition to what was fixed in the September draft, which added
various missing sections (more on transformers, including for MT, various updated algorithms, like for dependency parsers, etc.).
We've put up a list here of the amazing people who have sent typos and suggesting for improving the book.
We are really grateful to all of you for your help, the book would not be possible without you!
Individual chapters are below;
here is a single pdf of all the chapters in the Dec 30, 2021 draft of the book-so-far
As always, typos and comments very welcome (just email slp3edbugs@gmail.com
and let us know the date on the draft)!
(Don't bother reporting missing refs due to cross-chapter cross-reference problems in the indvidual chapter pdfs, those are fixed in the full book draft)
Feel free to use the draft chapters and draft slides in your classes.
When will the whole book be finished? Don't ask.
If you need last year's December 2020 draft chapters,
they are here;
the September 2021 draft chapters are
here.
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