Slick Oil Game
Demonstration of using Operation Research for Slick Oil Game
Posts by Collection
mediation
portfolio
Bayesian and Partition-Based Optimization for Hyperparameter Optimization of LLM Fine-Tuning
End-of-studies internship under the guidance of Prof. El-ghazali Talbi
publications
Bayesian and Partition-Based Optimization for Hyperparameter Optimization of LLM Fine-Tuning
Published in Communications in Computer and Information Science, 2026
Recommended citation: Davouse, N., Talbi, EG. (2026). Bayesian and Partition-Based Optimization for Hyperparameter Optimization of LLM Fine-Tuning. In: Dorronsoro, B., Talbi, EG., Weraikat, D., Bouamama, S. (eds) Optimization and Learning. OLA 2025. Communications in Computer and Information Science, vol 2808. Springer, Cham. https://doi.org/10.1007/978-3-032-13589-6_2
talks
Conference Talk – OLA 2025 (Video)
Published:
At the International Conference on Optimization and Learning (OLA 2025), I presented our paper on addressing the Hyperparameter Optimization (HPO) challenge in Large Language Model (LLM) fine-tuning.
teaching
Object Oriented Programming (32 h)
Undergraduate course, IG2I, Centrale Lille Institut, 2025
Object-Oriented Programming with Java.