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Total Size:
2.2 MB
Info Hash:
BF151EE13929869B20197EB05F14A1E798D87477
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Added:
April 17, 2026, 12:58 p.m.
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(Last updated: April 17, 2026, 12:59 p.m.)
| File | Size |
|---|---|
| Tavakoli H. Prompt Engineering for Everyone...Approach to AI Programming 2026.pdf | 2.2 MB |
NOTE
SOURCE: Tavakoli H. Prompt Engineering for Everyone...Approach to AI Programming 2026
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COVER

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MEDIAINFO
Textbook in PDF format Move beyond casual prompt writing and define prompt engineering as a structured, multidisciplinary field with a real social impact. This book uses a clear, practical, and human-centred approach to designing effective prompts for Large Language Models (LLMs) such as ChatGPT and Gemini. Using the "Prompt Anatomy Blueprint" framework, you’ll learn to craft precise and structured prompts that enhance AI output quality, reduce computational costs, and mitigate ethical risks such as bias and misinformation. By combining technology with human values, the book provides methods for designing prompts that promote fairness, transparency, and cultural nuance. It situates prompt engineering in real-world contexts—education, healthcare, governance, and creative industries—showing how language choices shape outcomes across these systems. Addressing the global use of LLMs, Prompt Engineering for Everyone calls for inclusive, multilingual approaches that respect diversity and resist inequality. It envisions prompt engineering as an emerging discipline shaped by ethics, regulation, and shared responsibility—empowering readers to create trustworthy, equitable human–AI interactions that serve an interconnected world. What You Will Learn Build responsible and inclusive human–AI collaborations for a diverse and interconnected world. Design prompts that enhance AI accuracy and efficiency. See how prompt design shapes outcomes across education, healthcare, and governance. Who This Book Is For Professionals from diverse fields looking to take prompting from informal practice to an interdisciplinary skillset vital for equitable and effective AI use
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