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Converging Minds: The Creative Potential of Collaborative ai (Human Factors in Design, Engineering, and Computing) (in English)
Przegalinska Aleksandra,Triantoro Tamilla (Author)
·
Crc Press
· Hardcover
Converging Minds: The Creative Potential of Collaborative ai (Human Factors in Design, Engineering, and Computing) (in English) - Przegalinska Aleksandra,Triantoro Tamilla
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Synopsis "Converging Minds: The Creative Potential of Collaborative ai (Human Factors in Design, Engineering, and Computing) (in English)"
This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted and fine-tuned by the authors.This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world.Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists and engineers in the fields of generative AI and deep learning.
