You're reading from Transformers for Natural Language Processing - Second Edition

Product type Book

Published in Mar 2022

Publisher Packt

ISBN-13 9781803247335

Pages 602 pages

Edition 2nd Edition

Languages

Concepts

Author (1):

Denis Rothman

Preface

1. What are Transformers?

2. Getting Started with the Architecture of the Transformer Model

3. Fine-Tuning BERT Models

4. Pretraining a RoBERTa Model from Scratch

5. Downstream NLP Tasks with Transformers

6. Machine Translation with the Transformer

7. The Rise of Suprahuman Transformers with GPT-3 Engines

8. Applying Transformers to Legal and Financial Documents for AI Text Summarization

9. Matching Tokenizers and Datasets

10. Semantic Role Labeling with BERT-Based Transformers

11. Let Your Data Do the Talking: Story, Questions, and Answers

12. Detecting Customer Emotions to Make Predictions

13. Analyzing Fake News with Transformers

14. Interpreting Black Box Transformer Models

15. From NLP to Task-Agnostic Transformer Models

16. The Emergence of Transformer-Driven Copilots

17. The Consolidation of Suprahuman Transformers with OpenAI’s ChatGPT and GPT-4

18. Other Books You May Enjoy

19. Index

Appendix I — Terminology of Transformer Models

1. Appendix II — Hardware Constraints for Transformer Models

2. Appendix III — Generic Text Completion with GPT-2

3. Appendix IV — Custom Text Completion with GPT-2

4. Appendix V — Answers to the Questions

Questions

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