You're reading from Transformers for Natural Language Processing Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781803247335

Length 602 pages

Edition 2nd Edition

Languages

Processing

Tools

Processing

Concepts

Mobile Application Development

Author (1):

Denis Rothman

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Table of Contents (25) Chapters

Preface

1. What are Transformers?

2. Getting Started with the Architecture of the Transformer Model FREE CHAPTER

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

Suprahuman NLP with GPT-3 transformer models

GPT-3 is built on the GPT-2 architecture. However, a fully trained GPT-3 transformer is a foundation model. A foundation model can do many tasks it wasn’t trained for. GPT-3 completion applies all NLP tasks and even programming tasks.

GPT-3 is one of the few fully trained transformer models that qualify as a foundation models. GPT-3 will no doubt lead to more powerful OpenAI models. Google will produce foundation models beyond the Google BERT version they trained on their supercomputers. Foundation models represent a new way of thinking about AI.

It will not take long for companies to realize they do not need a data scientist or an AI specialist to start an NLP project with an API like the one that OpenAI provides.

Why bother with any other tool? An OpenAI API is available with access to one of the most efficient transformer models trained on one of the most powerful supercomputers in the world.

Why develop...

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You're reading from Transformers for Natural Language Processing Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

Table of Contents (25) Chapters

Suprahuman NLP with GPT-3 transformer models

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Authors (1)