
Enhancing Large Language Models with Retrieval Augmented Fine – tuning
Introduction Large Language Models (LLMs) have the capability to answer a wide range of questions. However, they may stumble when dealing with topics not in their training data, such as recent events or deep – web information (data not indexed by search engines). Additionally, the lack of a clear answer source makes verification difficult. Retrieval…