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Mastering Prompt Engineering - by  Anand Nayyar & Ajantha Devi Vairamani & Kuldeep Kaswan (Paperback) - 1 of 1

Mastering Prompt Engineering - by Anand Nayyar & Ajantha Devi Vairamani & Kuldeep Kaswan (Paperback)

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Highlights

  • Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering.
  • Author(s): Anand Nayyar & Ajantha Devi Vairamani & Kuldeep Kaswan
  • 364 Pages
  • Computers + Internet, Natural Language Processing

Description



Book Synopsis



Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach.
Dimensions (Overall): 9.2 Inches (H) x 7.5 Inches (W) x .7 Inches (D)
Weight: 1.7 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 364
Genre: Computers + Internet
Sub-Genre: Natural Language Processing
Publisher: Morgan Kaufmann Publishers
Format: Paperback
Author: Anand Nayyar & Ajantha Devi Vairamani & Kuldeep Kaswan
Language: English
Street Date: August 7, 2025
TCIN: 1007271754
UPC: 9780443339042
Item Number (DPCI): 247-50-8713
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.7 inches length x 7.5 inches width x 9.2 inches height
Estimated ship weight: 1.7 pounds
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