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Ergebnisse für „large language models“: 4.

Monografie 2026

Rozprawy i Studia : Hybrydowe podejście do optymalizacji zarządzania łańcuchem dostaw z wykorzystaniem symulacji komputerowej i sztucznej inteligencji

Autoren / Herausgeber: Tomasz Wiśniewski

Veröffentlicht in: Rozprawy i Studia

A hybrid approach to optimizing supply chain management using computer simulation and artificial intelligence The monograph explores the integration of optimization methods, computer simulation, and artificial intelligence in supply chain management, aligning with the Supply Cha…

DOI: 10.18276/978-83-8419-119-4 · ISBN: 978-83-8419-118-7 · ISSN: 0860-2751

Kapitel 2025

SPRINT INTO THE FUTURE: INTELLIGENT MANAGEMENT THROUGH LLM-POWERED COMPUTER SIMULATIONS IN AGILE PROJECTS

Autoren / Herausgeber: Tomasz Wiśniewski, Rafał Szymański, Marta Starostka-Patyk

Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study investigates how Large Language Models (LLMs) integrated with computer simulations can enhance intelligent management in Agile Project Management. It examines generative AI’s ability to create simulation models from natural language, enabling faster and more a…

DOI: 10.18276/978-83-8419-053-1-32 · ISBN: 978-83-8419-053-1

Kapitel 2025

ASSESSING LLM’S THROUGH SCENARIO-BASED SOFT SKILLS TASKS FOR MANAGERS: EXPLORATORY STUDIES

Autoren / Herausgeber: Sara Drożdżyńska, Paweł Kucharski

Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: The aim of this study is to analyze the training potential of large language models (LLMs) in developing managerial soft skills. By potential, we refer to the model’s demonstrated understanding of the key elements involved in resolving conflict scenarios. Need for the…

DOI: 10.18276/978-83-8419-053-1-11 · ISBN: 978-83-8419-053-1

Kapitel 2025

AI-POWERED TAX ATTORNEYS: USING GENERATIVE AI TO ANALYZE TAX LAW TEXTS

Autoren / Herausgeber: Tomasz Strąk, Małgorzata Guzowska, Ibish Mazreku

Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: The study analyses the potential of Generative Artificial Intelligence (GenAI) in the field of tax law by assessing the ability of Large Language Models (LLMs) to analyse legal texts. The aim is to determine whether LLMs can perform correct and practically useful analyse…

DOI: 10.18276/978-83-8419-053-1-8 · ISBN: 978-83-8419-053-1