Software Engineering Meets Large Language Models


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Software Engineering Meets Large Language Models


Software Engineering Meets Large Language Models

Author: Marc Jansen

language: en

Publisher: BoD – Books on Demand

Release Date: 2024-07-08


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Intelligent Systems Design and Applications


Intelligent Systems Design and Applications

Author: Ajith Abraham

language: en

Publisher: Springer Nature

Release Date: 2024-07-24


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This book highlights recent research on intelligent systems and nature-inspired computing. It presents 45 selected papers focused on Natural Language Processing from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all specialists, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and Natural Language Processing.

Engineering Information Systems with Large Language Models


Engineering Information Systems with Large Language Models

Author: Francesca De Luzi

language: en

Publisher: Springer Nature

Release Date: 2025-07-29


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The rapid advancement of generative AI and specifically large language models (LLMs) is transforming the landscape of information systems (IS) engineering by offering unprecedented opportunities to support their design, development, maintenance, and reengineering. Starting with an overview of LLM history and foundational concepts, the book delves into practical applications for IS design and development, including prompt engineering, retrieval augmented generation, and multi-agent systems. Through a detailed survey and step-by-step programming guidance, readers will learn how to implement tools leveraging LLMs effectively. The book also addresses ethical considerations, offering insights and guidelines for responsible AI integration. The book provides a comprehensive and unified framework for exploiting LLMs in IS engineering. It aims at both researchers in information systems or LLM development and advanced professionals who would like to know how to potentially apply LLMs in the development or maintenance of information systems.