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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

Key takeaways from the book

A comprehensive exploration of LLMs spans a wide array of topics, from their foundational architecture to cutting-edge strategies for their deployment and optimization. The key takeaways of the various facets involved in the development and application of LLMs offered in this guide are discussed next.

Foundational architecture and decision-making

The foundational architecture of LLMs is a rich tapestry of interconnected systems and algorithms that give them the ability to process and understand human language with remarkable proficiency. Chapter 1, LLM Architecture, posited that a deep comprehension of the “anatomy” of LLMs is essential for any meaningful discourse on their capabilities and limitations. This anatomy refers to the various structural and functional components that make up an LLM. Central to this discussion was the concept of transformer models and attention mechanisms, which are the building blocks of the most advanced...

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