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A Large Language Model Classification Framework (LLMCF)

Journal: International Journal of Multidisciplinary Research and Publications (Vol.6, No. 3)

Publication Date:

Authors : ;

Page : 49-61

Keywords : ;

Source : Download Find it from : Google Scholarexternal

Abstract

The rapid advancement of Large Language Models (LLMs) has necessitated a comprehensive framework for categorizing and understanding their diverse characteristics. In response, this paper introduces the "Large Language Model Classification Framework" (LLMCF), a systematic taxonomy designed to organize the various aspects and features of LLMs. This framework encompasses several dimensions, including model types, scale and size, training data and pretraining strategies, fine-tuning approaches, use cases, ethical considerations, research advancements, and more. The LLMCF provides a structured foundation for researchers, practitioners, and enthusiasts to navigate the dynamic landscape of LLMs, fostering a deeper understanding of their capabilities and implications. As the field continues to evolve, the LLMCF serves as a valuable tool for contextualizing and analyzing the multifaceted nature of LLMs in diverse applications

Last modified: 2023-11-03 01:22:54