Engineering Information Systems with Large Language Models
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 hi...
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| Tác giả khác: | , , |
| Định dạng: | Điện tử eBook |
| Ngôn ngữ: | Tiếng Anh |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Phiên bản: | 1st ed. 2025. |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/978-3-031-92285-5 |
| Các nhãn: |
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| 245 | 1 | 0 | |a Engineering Information Systems with Large Language Models |h [electronic resource] / |c edited by Francesca De Luzi, Flavia Monti, Massimo Mecella. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
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| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
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| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
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