Book Image

Transformers for Natural Language Processing - Second Edition

By : Denis Rothman
5 (1)
Book Image

Transformers for Natural Language Processing - Second Edition

5 (1)
By: Denis Rothman

Overview of this book

Transformers are...well...transforming the world of AI. There are many platforms and models out there, but which ones best suit your needs? Transformers for Natural Language Processing, 2nd Edition, guides you through the world of transformers, highlighting the strengths of different models and platforms, while teaching you the problem-solving skills you need to tackle model weaknesses. You'll use Hugging Face to pretrain a RoBERTa model from scratch, from building the dataset to defining the data collator to training the model. If you're looking to fine-tune a pretrained model, including GPT-3, then Transformers for Natural Language Processing, 2nd Edition, shows you how with step-by-step guides. The book investigates machine translations, speech-to-text, text-to-speech, question-answering, and many more NLP tasks. It provides techniques to solve hard language problems and may even help with fake news anxiety (read chapter 13 for more details). You'll see how cutting-edge platforms, such as OpenAI, have taken transformers beyond language into computer vision tasks and code creation using DALL-E 2, ChatGPT, and GPT-4. By the end of this book, you'll know how transformers work and how to implement them and resolve issues like an AI detective.
Table of Contents (25 chapters)
18
Other Books You May Enjoy
19
Index
Appendix I — Terminology of Transformer Models

Questions

  1. We are still in the Third Industrial Revolution. (True/False)
  2. The Fourth Industrial Revolution is connecting everything to everything. (True/False)
  3. Industry 4.0 developers will sometimes have no AI development to do. (True/False)
  4. Industry 4.0 developers might have to implement transformers from scratch. (True/False)
  5. It’s not necessary to learn more than one transformer ecosystem, such as Hugging Face, for example. (True/False)
  6. A ready-to-use transformer API can satisfy all needs. (True/False)
  7. A company will accept the transformer ecosystem a developer knows best. (True/False)
  8. Cloud transformers have become mainstream. (True/False)
  9. A transformer project can be run on a laptop. (True/False)
  10. Industry 4.0 artificial intelligence specialists will have to be more flexible (True/False)