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

Getting ready for GPT-5 – infrastructure and skillsets

Preparing for the arrival of GPT-5, or any advanced iteration of LLMs, involves several key areas of focus for businesses and individuals looking to leverage the technology. Here’s an outline of what preparation could involve:

Infrastructure readiness:
- Cloud services: Ensuring access to scalable cloud services that can support the high computational demands of GPT-5
- Data storage: Upgrading data storage solutions to handle the increased volume of data processing and interactions
- Security measures: Implementing robust cybersecurity measures to protect the data that GPT-5 will process and secure AI’s output
- High-speed connectivity: Investing in high-speed internet connections to facilitate real-time interactions with cloud-based GPT-5 services
- API integration: Developing or updating APIs for the smooth integration of GPT-5 capabilities into existing systems and applications.
- Hardware accelerators: Utilizing...

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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

Getting ready for GPT-5 – infrastructure and skillsets

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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

Getting ready for GPT-5 – infrastructure and skillsets

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