Beyond and After Prompt Engineering: The Future of AI Communication (eBook, PDF)
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This pioneering book offers both a practical guide and a conceptual manifesto for rethinking our relationship with AI, exploring the future of AI communication and moving beyond traditional prompt engineering towards more natural, intuitive, multimodal, and context-aware interactions.It examines the personal, cultural, ethical, and philosophical aspects of AI communication, providing insights into how machines can comprehend context, establish rapport, exhibit emotional intelligence, and collaborate effectively with humans. The book outlines the key communication principles essential for ensur...
This pioneering book offers both a practical guide and a conceptual manifesto for rethinking our relationship with AI, exploring the future of AI communication and moving beyond traditional prompt engineering towards more natural, intuitive, multimodal, and context-aware interactions.
It examines the personal, cultural, ethical, and philosophical aspects of AI communication, providing insights into how machines can comprehend context, establish rapport, exhibit emotional intelligence, and collaborate effectively with humans. The book outlines the key communication principles essential for ensuring clarity, trust, adaptability, and mutual understanding in increasingly complex human-AI dialogues.
Structured across 16 chapters and organised into three parts (conceptual foundations, communicative principles, and future trajectories), this volume combines in-depth analysis with numerous real-world examples and forward-looking scenarios. It is richly illustrated with 142 conceptual diagrams that clarify complex ideas and serve as visual companions to the narrative.
Covering both near-term advancements and long-term speculative trends, this book serves as an essential guide for AI developers, practitioners, educators, students, and anyone interested in communicating more effectively with increasingly sophisticated AI systems.
It examines the personal, cultural, ethical, and philosophical aspects of AI communication, providing insights into how machines can comprehend context, establish rapport, exhibit emotional intelligence, and collaborate effectively with humans. The book outlines the key communication principles essential for ensuring clarity, trust, adaptability, and mutual understanding in increasingly complex human-AI dialogues.
Structured across 16 chapters and organised into three parts (conceptual foundations, communicative principles, and future trajectories), this volume combines in-depth analysis with numerous real-world examples and forward-looking scenarios. It is richly illustrated with 142 conceptual diagrams that clarify complex ideas and serve as visual companions to the narrative.
Covering both near-term advancements and long-term speculative trends, this book serves as an essential guide for AI developers, practitioners, educators, students, and anyone interested in communicating more effectively with increasingly sophisticated AI systems.
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