Fine-tuning large language models (LLMs) on specialized text corpora has emerged as a crucial step in enhancing their performance on scientific tasks. This study investigates various fine-tuning approaches for LLMs when applied to technical text. We explore the impact of different parameters, such as training, architecture, and hyperparameter tunin… Read More