Fine-tuning large language models (LLMs) on specialized text corpora has emerged as a crucial step in enhancing their performance on technical tasks. This paper investigates various fine-tuning methods for LLMs when applied to research text. We explore the impact of different parameters, such as training, model design, and configuration settings, o… Read More