Fine-Tuning and Evaluation of LLMs
This chapter explains why fine-tuning is essential for adapting large language models (LLMs) to specialized and high-stakes domains, where general-purpose prompting may be unreliable. This chapter introduces fine-tuning as the process of updating a pretrained model with task-specific data and reviews evidence from heal...
Mohammad Amin Kuhail, Mohammad Tubishat, Sarah Kohail et al.
· Large Language Models and Pr... · 0 citations