1 option
Engineering information systems with large language models / Francesca de Luzi, Flavia Monti, Massimo Mecella, editors
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
View online- Format:
- Book
- Series:
- Computer Science Series
- Language:
- English
- Subjects (All):
- Application software.
- Business information services.
- Artificial intelligence.
- Computer and Information Systems Applications.
- Business Information Systems.
- Artificial Intelligence.
- Local Subjects:
- Computer and Information Systems Applications.
- Business Information Systems.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (291 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland, [2025].
- Summary:
- 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.
- Contents:
- 1. Introduction
- 2. History of LLMs
- 3. LLMs for Dummies
- 4. A Reference Framework for Information Systems
- 5. Exploring Large Language Models in Information Systems: A Survey
- 6. Programming LLMs
- 7. Retrieval Augmented Generation
- 8. Large Language Model Agents
- 9. Applications of Large Language Models in Information Systems
- 10. Ethics and Governance of Large Language Models
- 11. Epilogue
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783031922855
- OCLC:
- 1532432030
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.