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Transformers for Natural Language Processing - Second Edition
Transformers for Natural Language Processing - Second Edition

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, Second Edition

Profile Icon Denis Rothman
By Denis Rothman
$49.99 $71.99
Book Mar 2022 602 pages 2nd Edition
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$49.99 $71.99
Print
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Profile Icon Denis Rothman
By Denis Rothman
$49.99 $71.99
Book Mar 2022 602 pages 2nd Edition
eBook
$49.99 $71.99
Print
$89.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$49.99 $71.99
Print
$89.99
Subscription
Free Trial
Renews at $19.99p/m

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Transformers for Natural Language Processing - Second Edition

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Key benefits

  • Improve your productivity with OpenAI’s ChatGPT and GPT-4 from prompt engineering to creating and analyzing machine learning models
  • Pretrain a BERT-based model from scratch using Hugging Face
  • Fine-tune powerful transformer models, including OpenAI's GPT-3, to learn the logic of your data

Description

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.

What you will learn

  • Discover new techniques to investigate complex language problems
  • Compare and contrast the results of GPT-3 against T5, GPT-2, and BERT-based transformers
  • Carry out sentiment analysis, text summarization, casual speech analysis, machine translations, and more using TensorFlow, PyTorch, and GPT-3
  • Find out how ViT and CLIP label images (including blurry ones!) and create images from a sentence using DALL-E
  • Learn the mechanics of advanced prompt engineering for ChatGPT and GPT-4

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 25, 2022
Length 602 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781803247335
Category :

What do you get with eBook?

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Product Details

Publication date : Mar 25, 2022
Length 602 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781803247335
Category :

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Frequently bought together

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Deep Learning with TensorFlow and Keras – 3rd edition
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Transformers for Natural Language Processing
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Book stack Total $ 107.96 155.97 48.01 saved Stars icon

Table of Contents

25 Chapters
Preface Chevron down icon Chevron up icon
1. What are Transformers? Chevron down icon Chevron up icon
2. Getting Started with the Architecture of the Transformer Model Chevron down icon Chevron up icon
3. Fine-Tuning BERT Models Chevron down icon Chevron up icon
4. Pretraining a RoBERTa Model from Scratch Chevron down icon Chevron up icon
5. Downstream NLP Tasks with Transformers Chevron down icon Chevron up icon
6. Machine Translation with the Transformer Chevron down icon Chevron up icon
7. The Rise of Suprahuman Transformers with GPT-3 Engines Chevron down icon Chevron up icon
8. Applying Transformers to Legal and Financial Documents for AI Text Summarization Chevron down icon Chevron up icon
9. Matching Tokenizers and Datasets Chevron down icon Chevron up icon
10. Semantic Role Labeling with BERT-Based Transformers Chevron down icon Chevron up icon
11. Let Your Data Do the Talking: Story, Questions, and Answers Chevron down icon Chevron up icon
12. Detecting Customer Emotions to Make Predictions Chevron down icon Chevron up icon
13. Analyzing Fake News with Transformers Chevron down icon Chevron up icon
14. Interpreting Black Box Transformer Models Chevron down icon Chevron up icon
15. From NLP to Task-Agnostic Transformer Models Chevron down icon Chevron up icon
16. The Emergence of Transformer-Driven Copilots Chevron down icon Chevron up icon
17. The Consolidation of Suprahuman Transformers with OpenAI’s ChatGPT and GPT-4 Chevron down icon Chevron up icon
18. Other Books You May Enjoy Chevron down icon Chevron up icon
19. Index Chevron down icon Chevron up icon
Appendix I — Terminology of Transformer Models Chevron down icon Chevron up icon
1. Appendix II — Hardware Constraints for Transformer Models Chevron down icon Chevron up icon
2. Appendix III — Generic Text Completion with GPT-2 Chevron down icon Chevron up icon
3. Appendix IV — Custom Text Completion with GPT-2 Chevron down icon Chevron up icon
4. Appendix V — Answers to the Questions Chevron down icon Chevron up icon
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