Auflistung nach Schlagwort "Generative AI"
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- ZeitschriftenartikelFoundation Models(Business & Information Systems Engineering: Vol. 66, No. 2, 2024) Schneider, Johannes; Meske, Christian; Kuss, Pauline
- WorkshopbeitragIntegrating Declarative and Imperative Process Modeling Paradigms in the Age of Generative AI(Modellierung 2024 Satellite Events, 2024) Kampik, Timotheus; Berg, Gregor; Eickhoff, DavidThis brief paper summarizes a talk introducing and discussing the notion of process atoms, small facts or queries, each describing an organizationally relevant property or constraint of a business process that cannot be further split without losing its business meaning. An example of a process atom is: “only if an order with a purchase amount greater than 10,000€ is requested, management approval has to take place afterwards” (more abstractly: “only if A then eventually B”). As process atoms are executable as queries on data and allow for dynamic contextualization across process and organizational scopes, they complement and augment traditional process models, such as BPMN diagrams, particularly in the age of data-driven process analysis and generative AI-created process content.
- ZeitschriftenartikelDie Nutzung von ChatGPT in Unternehmen: Ein Fallbeispiel zur Neugestaltung von Serviceprozessen(HMD Praxis der Wirtschaftsinformatik: Vol. 61, No. 2, 2024) Buxmann, Peter; Glauben, Adrian; Hendriks, PatrickLarge Language Models (LLMs) revolutionieren die Art und Weise, wie Texte oder auch Software geschrieben werden. In diesem Artikel wollen wir insbesondere auf den Einsatz von ChatGPT in Unternehmen eingehen. Schwerpunkt ist ein Fallbeispiel zur Neugestaltung von Serviceprozessen, das gemeinsam mit einem mittelständischen Softwarehaus entwickelt wurde. Wir zeigen, wie LLMs Geschäftsprozesse transformieren können und welche wirtschaftlichen Effekte sich daraus ergeben. Large Language Models (LLMs) are revolutionising the way texts and even software are written. In this article we will focus on the use of ChatGPT in companies. The emphasis is on a case study for redesigning service processes that was developed together with a medium-sized software company. We show how LLMs can transform business processes and what the economic impact is.
- KonferenzbeitragReliable Generation of Formal Specifications using Large Language Models(SE 2024 - Companion, 2024) Kogler, Philipp; Falkner, Andreas; Sperl, SimonRecent pre-trained Large Language Models (LLMs) have demonstrated promising Natural Language Processing (NLP) and code generation abilities. However, the intrinsically unreliable output due to the probabilistic nature of LLMs imposes a major challenge as validity can generally not be guaranteed, making subsequent processing prone to errors. When LLMs are used to translate natural-language specifications to formal specifications, this limitation becomes evident. We propose a framework involving prompting and algorithmic post-processing that continuously interacts with the LLM to ensure strict syntactic validity and reasonable content correctness. Furthermore, we introduce a use-case in the domain of engineering processes for railway infrastructure and demonstrate that our approach is sufficiently mature for implementation in an industrial environment.