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Autor(en): 
  • Ravindra Kumar Nayak
  • AI Mathematics Ladder - Book 12: Prompting, Reasoning, and Tool Use 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Juni 2026  
    Genre:  EDV / Informatik 
     
    COMPUTERS / Natural Language Processing
    ISBN:  9798183576498 
    EAN-Code: 
    9798183576498 
    Verlag:  Independently Published 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 7 mm 
    Gewicht:  143 gr 
    Seiten:  108 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In the age of artificial intelligence, the most powerful skill is not simply knowing which tool to use. It is knowing how to ask clearly, reason carefully, verify responsibly, and keep human judgment at the center.
    AI Mathematics Ladder - Book 12: Prompting, Reasoning, and Tool Use is a beginner-friendly, first-principles guide for readers who want to understand AI prompting, reasoning, and tool use without feeling overwhelmed by technical language.
    Through the continuing journey of Aria and Dr. Vector, this book turns modern AI concepts into clear, human experiences. A vague request becomes a lesson in intention. A staircase becomes a model for reasoning. A library folder becomes a lesson in evidence. A calculator becomes a reminder that tools need clean questions. A community learning day becomes a living example of why human responsibility still matters.
    This book is written for non-technical readers, students, self-learners, educators, professionals, creators, and curious beginners who want to use AI more thoughtfully. It does not rush into jargon. It begins with ordinary life, builds confidence step by step, and then gently introduces stronger ideas: prompt clarity, context, constraints, assumptions, verification, retrieval, tool selection, workflow design, privacy, safety, and human judgment.
    Inside, readers will learn how to:
    Understand what makes a prompt clear and useful
    Give context without overloading the answer
    Use constraints to improve focus and safety
    Break large requests into smaller reasoning steps
    Recognize assumptions before they mislead the result
    Compare options with simple criteria
    Check evidence instead of trusting clean-looking answers
    Use tools as extensions of intention, not replacements for judgment
    Design small workflows with human supervision
    Protect privacy, ask permission, and review outputs responsibly
    The book keeps the tone warm, visual, poetic, and practical. Each chapter uses dialogue, first-principles explanation, real-world scenes, reader reflection, and poetic closing blocks to make difficult ideas feel simple and memorable.
    This is not a book about chasing shortcuts. It is a book about building a calm and confident way of thinking with AI.
    If you have ever asked an AI tool for help and received an answer that looked polished but felt unclear, incomplete, or unsafe, this book will show you what was missing. If you want to move from vague asking to thoughtful prompting, from random output to structured reasoning, and from tool confusion to responsible use, this book offers a clear path.
    A good prompt is not just a sentence.
    A good answer is not just a response.
    A good tool is not just a shortcut.
    Real intelligence begins when clarity, reasoning, evidence, and human purpose work together.

      



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