You're reading from Transformers for Natural Language Processing and Computer Vision Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3

Product type Paperback

Published in Feb 2024

Publisher Packt

ISBN-13 9781805128724

Length 730 pages

Edition 3rd Edition

Languages

Processing

Tools

Processing

Concepts

Computer Vision

Author (1):

Denis Rothman

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Table of Contents (24) Chapters

Preface

1. What Are Transformers?

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

3. Emergent vs Downstream Tasks: The Unseen Depths of Transformers

4. Advancements in Translations with Google Trax, Google Translate, and Gemini

5. Diving into Fine-Tuning through BERT

6. Pretraining a Transformer from Scratch through RoBERTa

7. The Generative AI Revolution with ChatGPT

8. Fine-Tuning OpenAI GPT Models

9. Shattering the Black Box with Interpretable Tools

10. Investigating the Role of Tokenizers in Shaping Transformer Models

11. Leveraging LLM Embeddings as an Alternative to Fine-Tuning

12. Toward Syntax-Free Semantic Role Labeling with ChatGPT and GPT-4

13. Summarization with T5 and ChatGPT

14. Exploring Cutting-Edge LLMs with Vertex AI and PaLM 2

15. Guarding the Giants: Mitigating Risks in Large Language Models

16. Beyond Text: Vision Transformers in the Dawn of Revolutionary AI

17. Transcending the Image-Text Boundary with Stable Diffusion

18. Hugging Face AutoTrain: Training Vision Models without Coding

19. On the Road to Functional AGI with HuggingGPT and its Peers

20. Beyond Human-Designed Prompts with Generative Ideation

21. Index

Appendix A: Revolutionizing AI: The Power of Optimized Time Complexity in Transformer Models

1. Appendix B: Answers to the Questions

Index

accuracy score 68

Ada embeddings

running 326

saving, for future reuse 326

used, for transfer learning 324

Adam optimizer 131

AI agents

conditions, for replication 441, 443

AI professionals

decision-making guidelines 15

future 14

resources 14, 15

role 12, 14

AI revolution

sparking, with one token 653-655

Amazon Fine Food Reviews dataset 324

Amazon Web Services (AWS) 1, 16, 318

argument 339

ask functionality 321, 322

example question 322

wrong answers, troubleshooting 322, 323

associative neural networks 9

Asynchronous JavaScript and XML (AJAX) 104

attention heads

output, streaming of 240-242

attention layer 642, 643

computational time complexity 644

attention scores

word relationships, visualizing with 242-245

Auto-BIG-bench 433-439

automated generative ideation

automated instruction for GPT-4 627-629

generative AI, with ChatGPT 629, 630

generative...

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Table of Contents (24) Chapters

Index

Authors (1)

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You're reading from Transformers for Natural Language Processing and Computer Vision Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3

Table of Contents (24) Chapters

Index

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Authors (1)

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