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Propmt Engineering for Large Language Models: Best Practices and Tools, (Hardcover)

Propmt Engineering for Large Language Models: Best Practices and Tools, (Hardcover)


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Management number 251646848 Release Date 2026/09/26 List Price US$32.00 Model Number 251646848
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<p>Prompt Engineering for Large Language Models: Best Practices and Tools</p><p>Edited by <strong>Dr. Sanjay Agal</strong></p><p>Step into the future of human-AI collaboration with this essential guide to mastering the art of communication with large language models.</p><p>As artificial intelligence becomes increasingly integrated into education, business, and creative industries, the ability to craft clear, effective prompts is no longer optional-it's transformative. Prompt Engineering for Large Language Models demystifies the strategies behind generating precise, relevant, and impactful outputs from AI systems like GPT, PaLM, and more.</p><p>From foundational concepts to advanced techniques, this book offers a hands-on exploration of prompt crafting, optimization tools, real-world use cases, and ethical considerations. Whether you're a student curious about AI, a teacher looking to enhance learning experiences, or a professional aiming to improve productivity through automation-this book equips you with the skills to make AI work smarter for you.</p><p>Featuring best practices, insightful case studies, and a beginner-friendly approach, this is your gateway to unlocking the full potential of generative AI.</p><p>Discover how the right prompt can change everything.</p>

  • Propmt Engineering for Large Language Models: Best Practices and Tools, (Hardcover)
  • Author: Notion Press
  • ISBN: 9798899061103
  • Format: Hardcover
  • Publication Date: 2025-04-09
  • Page Count: 270
Book format Hardcover
Fiction/nonfiction Non-Fiction
Genre Textbooks
Publication date April, 2025
Pages 270
Subgenre Schools
Series title No Series
Number in series 0
Edition 1
Publisher Notion Press Media Pvt. Ltd
Original languages English
Language English
Educational level Higher
Is collectible N
Editor Dr. Sanjay Agal
Binding type Case Binding
Recording time 0 min
Retail packaging Single Piece
Assembled product dimensions (l x w x h) 8.50 x 0.81 x 11.00 in
Assembled product weight 2.55 lb
Bisac subject heading Education

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