Large Language Models and Information Retrieval

Author(s)	Kalyani Pakhale
Country	India
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.
Keywords	LLM, OCR, Information Retrieval
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-11-16
Cite This	Large Language Models and Information Retrieval - Kalyani Pakhale - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8841
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.8841
Short DOI	https://doi.org/gs47wd

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