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The Age of Generative Artificial Intelligence

Söz Tuana DEMİR, Nida GÖKÇE NARİN, Melih Selami SAĞCAN, Erşan EFE, Ali Abbas DOĞAN, Erdil ASLAN, Muhammet DAMAR, Melih TAKYACI, Niyazi Cenk GENEK, Bertuğ TAŞ, Selim Esad ALKAN, Arda GÜR, Enis KARAARSLAN, Ömer AYDIN, Abdülkadir AKYILDIZ, Süleyman EKEN, Fatih Emre YILDIZ, Fatih Sinan ESEN, Burcu SAKIZ

196 Pages
2025
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The Age of Generative Artificial Intelligence - Summary

This groundbreaking volume explores the revolutionary impact of generative AI across multiple domains, offering a comprehensive analysis of how these technologies are reshaping our world. Through eight meticulously crafted chapters, the book navigates from fundamental technical concepts to practical applications and ethical considerations, providing readers with both theoretical understanding and practical insights into the rapidly evolving landscape of artificial intelligence.

Key Ideas

1

Technological Evolution and Integration

The book extensively covers how transformer-based models and large language models are being integrated into various sectors, particularly healthcare and digital media, demonstrating the practical implementation of AI systems in solving real-world challenges and improving service delivery.

2

Creative and Generative Capabilities

A detailed exploration of AI's creative potential, focusing on text-to-video generation, content production, and multimodal capabilities, showing how these technologies are pushing the boundaries of machine-generated content while raising important questions about authenticity and creativity.

3

Risk Management and Ethical Considerations

The work presents a systematic examination of the challenges associated with AI deployment, including content detection, autonomous behavior, and data integrity, providing frameworks for understanding and mitigating risks in the age of generative AI.

FAQ's

This book offers a unique combination of theoretical understanding and practical applications, written by multiple experts who provide diverse perspectives on generative AI's impact across different industries and domains.

The book is valuable for technology professionals, researchers, business leaders, and policy makers who need to understand both the technical aspects and broader implications of generative AI in their respective fields.

Through dedicated chapters on content detection, autonomous behavior, and risk taxonomy, the book provides comprehensive frameworks for understanding and addressing the ethical challenges and safety concerns associated with generative AI implementation.

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