Large Language Models and Information Retrieval

Abstract

This research article explores the synergistic integration of Optical Character Recognition (OCR) technology and Large Language Models (LLMs) to advance Information Retrieval (IR) processes. In a data-centric society, efficient IR is imperative, and the combination of OCR and LLMs presents a powerful solution. OCR transforms diverse document types into machine-readable formats, while LLMs excel in language understanding and generation. The article delves into the technical intricacies of these technologies, their seamless integration, and their potential to revolutionize information retrieval. By investigating their collaborative capabilities, this research contributes to the evolving landscape of natural language processing and information retrieval systems.