Zakres wyszukiwania: Wszystkie publikacje
Liczba wyników dla „Large Language Models”: 4.
Monografia 2026
Autorzy / redaktorzy: Tomasz Wiśniewski
Publikacja nadrzędna: 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
Rozdział 2025
Autorzy / redaktorzy: Tomasz Wiśniewski, Rafał Szymański, Marta Starostka-Patyk
Publikacja nadrzędna: 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
Rozdział 2025
Autorzy / redaktorzy: Sara Drożdżyńska, Paweł Kucharski
Publikacja nadrzędna: 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
Rozdział 2025
Autorzy / redaktorzy: Tomasz Strąk, Małgorzata Guzowska, Ibish Mazreku
Publikacja nadrzędna: 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