Dr. Houssem Chemingui , is an Assistant Professor in Information Systems at Brest Business School. With a PhD in Computer Science from Paris 1 Panthéon Sorbonne University, his research focuses on streamlining product line configuration processes. He's published extensively on topics like Artificial Intelligence, Data Analytics, and Software Configuration. Beyond academia, he's contributed to development projects and consultancy initiatives, showcasing his commitment to advancing technology and education.
Dr. Munir Ahmad is a seasoned professional in the realm of Spatial Data Infrastructure (SDI), Geo-Information Productions, Information Systems, and Information Governance, boasting over 25 years of dedicated experience in the field. With a PhD in Computer Science, Dr. Ahmad's expertise spans Spatial Data Production, Management, Processing, Analysis, Visualization, and Quality Control. Throughout his career, Dr. Ahmad has been deeply involved in the development and deployment of SDI systems specially in the context of Pakistan, leveraging his proficiency in Spatial Database Design, Web, Mobile & Desktop GIS, and Geo Web Services Architecture. His contributions to Volunteered Geographic Information (VGI) and Open Source Geoportal & Metadata Portal have significantly enriched the geospatial community. As a trainer and researcher, Dr. Ahmad has authored over 50 publications, advancing the industry's knowledge base and fostering innovation in Geo-Tech, Data Governance, and Information Infrastructure, and Emerging Technologies. His commitment to Research and Development (R&D) is evident in his role as a dedicated educator and mentor in the field.
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Hardcover. Etat : new. Hardcover. As artificial intelligence (AI) becomes increasingly integrated into daily life and professional domains, the ability to interact effectively with AI systems is critical. Prompt engineering has emerged as a vital skill for optimizing the performance and reliability of language models and other generative tools. This expertise empowers users to unlock the full potential of AI in fields such as creative writing, programming, research, and decision-making. By understanding how to structure and refine prompts, individuals can improve the quality, relevance, and creativity of AI-generated responses. This shift in human-computer interaction has broad implications for education, innovation, and the future of work. Advanced AI and Prompt Engineering Techniques and Resources delves into how AI models process and respond to inputs. It presents a range of sophisticated techniques designed to optimize prompt crafting for complex tasks. Covering topics such as academic integrity, domain-specific tasks, and textual analysis, this book is an excellent resource for AI developers, data scientists, machine learning engineers, academicians, researchers, students, business and industry letters, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337302508
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Hardcover. Etat : new. Hardcover. As artificial intelligence (AI) becomes increasingly integrated into daily life and professional domains, the ability to interact effectively with AI systems is critical. Prompt engineering has emerged as a vital skill for optimizing the performance and reliability of language models and other generative tools. This expertise empowers users to unlock the full potential of AI in fields such as creative writing, programming, research, and decision-making. By understanding how to structure and refine prompts, individuals can improve the quality, relevance, and creativity of AI-generated responses. This shift in human-computer interaction has broad implications for education, innovation, and the future of work. Advanced AI and Prompt Engineering Techniques and Resources delves into how AI models process and respond to inputs. It presents a range of sophisticated techniques designed to optimize prompt crafting for complex tasks. Covering topics such as academic integrity, domain-specific tasks, and textual analysis, this book is an excellent resource for AI developers, data scientists, machine learning engineers, academicians, researchers, students, business and industry letters, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337302508
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Buch. Etat : Neu. Advanced AI and Prompt Engineering Techniques and Resources | Houssem Chemingui (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798337302508 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134075256
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Hardcover. Etat : new. Hardcover. As artificial intelligence (AI) becomes increasingly integrated into daily life and professional domains, the ability to interact effectively with AI systems is critical. Prompt engineering has emerged as a vital skill for optimizing the performance and reliability of language models and other generative tools. This expertise empowers users to unlock the full potential of AI in fields such as creative writing, programming, research, and decision-making. By understanding how to structure and refine prompts, individuals can improve the quality, relevance, and creativity of AI-generated responses. This shift in human-computer interaction has broad implications for education, innovation, and the future of work. Advanced AI and Prompt Engineering Techniques and Resources delves into how AI models process and respond to inputs. It presents a range of sophisticated techniques designed to optimize prompt crafting for complex tasks. Covering topics such as academic integrity, domain-specific tasks, and textual analysis, this book is an excellent resource for AI developers, data scientists, machine learning engineers, academicians, researchers, students, business and industry letters, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337302508
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