Abstract: Fine-tuning large language models is essential for enhancing performance across diverse natural language processing tasks. This paper evaluates the Supervised Fine-Tuning Trainer framework, ...

Abstract: This work presents a methodology to estimate tire parameters and their uncertainty using a Bayesian optimization approach. The literature mainly considers the estimation of tire parameters ...