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Decoding Large Language Models

You're reading from   Decoding Large Language Models An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835084656
Length 396 pages
Edition 1st Edition
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Author (1):
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Irena Cronin Irena Cronin
Author Profile Icon Irena Cronin
Irena Cronin
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Table of Contents (22) Chapters Close

Preface 1. Part 1: The Foundations of Large Language Models (LLMs)
2. Chapter 1: LLM Architecture FREE CHAPTER 3. Chapter 2: How LLMs Make Decisions 4. Part 2: Mastering LLM Development
5. Chapter 3: The Mechanics of Training LLMs 6. Chapter 4: Advanced Training Strategies 7. Chapter 5: Fine-Tuning LLMs for Specific Applications 8. Chapter 6: Testing and Evaluating LLMs 9. Part 3: Deployment and Enhancing LLM Performance
10. Chapter 7: Deploying LLMs in Production 11. Chapter 8: Strategies for Integrating LLMs 12. Chapter 9: Optimization Techniques for Performance 13. Chapter 10: Advanced Optimization and Efficiency 14. Part 4: Issues, Practical Insights, and Preparing for the Future
15. Chapter 11: LLM Vulnerabilities, Biases, and Legal Implications 16. Chapter 12: Case Studies – Business Applications and ROI 17. Chapter 13: The Ecosystem of LLM Tools and Frameworks 18. Chapter 14: Preparing for GPT-5 and Beyond 19. Chapter 15: Conclusion and Looking Forward 20. Index 21. Other Books You May Enjoy

The anatomy of a language model

In the pursuit of AI that mirrors the depth and versatility of human communication, language models such as GPT-4 emerge as paragons of computational linguistics. The foundation of such a model is its training data – a colossal repository of text drawn from literature, digital media, and myriad other sources. This data is not only vast in quantity but also rich in variety, encompassing a spectrum of topics, styles, and languages to ensure a comprehensive understanding of human language.

The anatomy of a language model such as GPT-4 is a testament to the intersection of complex technology and linguistic sophistication. Each component, from training data to user interaction, works in concert to create a model that not only simulates human language but also enriches the way we interact with machines. It is through this intricate structure that language models hold the promise of bridging the communicative divide between humans and artificial intelligence...

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Decoding Large Language Models
Published in: Oct 2024
Publisher: Packt
ISBN-13: 9781835084656
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