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Pretrain Vision and Large Language Models in Python

You're reading from   Pretrain Vision and Large Language Models in Python End-to-end techniques for building and deploying foundation models on AWS

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804618257
Length 258 pages
Edition 1st Edition
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Author (1):
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Emily Webber Emily Webber
Author Profile Icon Emily Webber
Emily Webber
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Before Pretraining
2. Chapter 1: An Introduction to Pretraining Foundation Models FREE CHAPTER 3. Chapter 2: Dataset Preparation: Part One 4. Chapter 3: Model Preparation 5. Part 2: Configure Your Environment
6. Chapter 4: Containers and Accelerators on the Cloud 7. Chapter 5: Distribution Fundamentals 8. Chapter 6: Dataset Preparation: Part Two, the Data Loader 9. Part 3: Train Your Model
10. Chapter 7: Finding the Right Hyperparameters 11. Chapter 8: Large-Scale Training on SageMaker 12. Chapter 9: Advanced Training Concepts 13. Part 4: Evaluate Your Model
14. Chapter 10: Fine-Tuning and Evaluating 15. Chapter 11: Detecting, Mitigating, and Monitoring Bias 16. Chapter 12: How to Deploy Your Model 17. Part 5: Deploy Your Model
18. Chapter 13: Prompt Engineering 19. Chapter 14: MLOps for Vision and Language 20. Chapter 15: Future Trends in Pretraining Foundation Models 21. Index 22. Other Books You May Enjoy

Summary

What a journey! To those of you who made it to the end with me, thank you so much for the time, creativity, and energy you’ve put into studying my words and thoughts. I hope at least some of the insights were worth your time, and that the mistakes weren’t too glaring.

In this book, we walked through the entire process of pretraining foundation models, looking at key use cases and examples from vision and language, and understanding core capabilities on AWS to build your applications and projects. I love hearing from my audience, so please, reach out to me and stay in touch! I’m active on LinkedIn; you can always ping me with questions or comments. I run a weekly Twitch show on Generative AI, so you can always find there me and hop in with feedback or comments. (25)

And of course, you can always talk to your teams at AWS to reach out to me directly! I love meeting customers, thinking through architectural choices, communicating your needs to our service...

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