Enhancing llama large language model (llm) for retail analytics through fine-tuning

Abstract

This research paper delves into the application of fine-tuning techniques on the Llama model, a cutting-edge open source Large Language Model (LLM) that is used to predict departments within the online grocery shopping context. Department prediction, a critical task in e-commerce, aims to classify products into categories such as