Natural Language Processing with Transformers
by Lewis Tunstall, Leandro von Werra, Thomas Wolf · first published 2022
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…found helpful, I also have some links to additional resources in the project readme: - Deep Learning Foundations and concepts: Book by Christopher Bishop. Mainly covers theory and statistical ML. - Natural Language Processing with Transformers: Book by Lewis Tunstall, Leandro von Werra, and Thomas Wolf (Hugging Face). Good for understanding real world NLP/ LLMs. - UvA Deep Learning Tutorials: Website for building and understanding DL modules,…
on “Show HN: I built a deep learning engine from scratch in Python” ↗I have been enjoying Natural Language Processing with Transformers [1]. It's largely focused on the Huggingface library, but Chapter 3 has a very nice walkthrough that builds up the encoder portion of an encoder-decoder Transformer from "scratch" (it still uses some…
on “The Principles of Deep Learning Theory” ↗…With the Hugging Face Library and Models to Solve Problems https://www.amazon.com/gp/product/1484288432 Transformers for Machine Learning: A Deep Dive https://www.amazon.com/gp/product/0367767341/ Natural Language Processing with Transformers, Revised Edition https://www.amazon.com/gp/product/1098136799 EDIT: a couple of the ones that I thought were still pending have now been released. I haven't read any of these, but they are ones that caught my eye and…
on “Ask HN: Best books on introduction to AI/LLMs?” ↗