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

Product type Paperback

Published in Oct 2024

Publisher Packt

ISBN-13 9781835084656

Length 396 pages

Edition 1st Edition

Concepts

Data Science

Author (1):

Irena Cronin

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Table of Contents (22) Chapters

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

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21. Other Books You May Enjoy

Continuing education and resources for technical leaders

For technical leaders looking to stay informed and educated about LLMs in the ever-evolving field of NLP, continuing education is crucial. There are numerous resources and avenues available:

Online courses and specializations: Platforms such as Coursera, edX, and Udacity offer courses and specializations that focus on AI, ML, and NLP. These often include modules on LLMs, covering foundational principles, the latest research, and practical implementations.
Workshops and conferences: Attending workshops and conferences such as NeurIPS, ICML, ACL, and others dedicated to AI and ML is a great way for leaders to gain insights into the latest advancements in LLMs and network with peers and experts in the field.
Academic journals and publications: Staying abreast of research through journals such as Journal of Machine Learning Research, Transactions of the Association for Computational Linguistics, or Natural Language...

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

Table of Contents (22) Chapters

Continuing education and resources for technical leaders

Authors (1)

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

Table of Contents (22) Chapters

Continuing education and resources for technical leaders

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