This article talks about the process of fine-tuning the LLAMA 3 model specifically for relation extraction tasks using UBIAI data. It covers the methods and techniques employed to customize the model, enhancing its accuracy and performance in extracting relationships from text data. By leveraging UBIAI’s annotated datasets, the article demonstrates how to achieve superior results in natural language processing applications, particularly in identifying and categorizing relational data.