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Essential Guide to LLMOps

You're reading from   Essential Guide to LLMOps Implementing effective strategies for Large Language Models in deployment and continuous improvement

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835887509
Length 190 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Ryan Doan Ryan Doan
Author Profile Icon Ryan Doan
Ryan Doan
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Table of Contents (14) Chapters Close

Preface 1. Part 1: Foundations of LLMOps FREE CHAPTER
2. Chapter 1: Introduction to LLMs and LLMOps 3. Chapter 2: Reviewing LLMOps Components 4. Part 2: Tools and Strategies in LLMOps
5. Chapter 3: Processing Data in LLMOps Tools 6. Chapter 4: Developing Models via LLMOps 7. Chapter 5: LLMOps Review and Compliance 8. Part 3: Advanced LLMOps Applications and Future Outlook
9. Chapter 6: LLMOps Strategies for Inference, Serving, and Scalability 10. Chapter 7: LLMOps Monitoring and Continuous Improvement 11. Chapter 8: The Future of LLMOps and Emerging Technologies 12. Index 13. Other Books You May Enjoy

Part 1: Foundations of LLMOps

In the first section of this book, we review the foundational elements that constitute large language model operations (LLMOps). This part sets the stage for understanding the crucial aspects and underlying mechanics that support the efficient use and management of LLMs across various domains.

This part contains the following chapters:

  • Chapter 1, Introduction to LLMs and LLMOps
  • Chapter 2, Reviewing LLMOps Components
You have been reading a chapter from
Essential Guide to LLMOps
Published in: Jul 2024
Publisher: Packt
ISBN-13: 9781835887509
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