Master Thesis Online
Study of usage of Large Language Model in industrial context
Mokeddem, Samy 
Promotor(s) :
Ernst, Damien
Date of defense : 24-Jun-2024/25-Jun-2024 • Permalink : http://hdl.handle.net/2268.2/20253
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| Title : | Study of usage of Large Language Model in industrial context |
| Translated title : | [fr] Étude de l’utilisation du large modèle de langage en contexte industriel |
| Author : | Mokeddem, Samy
|
| Date of defense : | 24-Jun-2024/25-Jun-2024 |
| Advisor(s) : | Ernst, Damien
|
| Committee's member(s) : | Geurts, Pierre
Louppe, Gilles
|
| Language : | English |
| Keywords : | [en] Large Language Model [en] LLM [en] Natural Language Processing [en] NLP [en] RL [en] AI |
| Discipline(s) : | Engineering, computing & technology > Civil engineering |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master : ingénieur civil électricien, à finalité spécialisée en Neuromorphic Engineering |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] This work has explored the integration and utilization of large language models (LLMs) in industrial contexts, with a specific focus on Haulogy, a Belgian IT enterprise in the energy sector. By examining this practical example, we investigated the potential applications of LLMs in industrial settings, identified the challenges associated with their deployment, and proposed solutions to overcome these challenges.
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The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.