How to Choose the Best AI LLM: A Guide to Navigating the Diversity of Models

Abstract

This article presents an in-depth analysis of Large Language Models (LLMs), a rapidly expanding technology. The main objective is to provide a comprehensive state-of-the-art overview, exploring recent advancements, challenges, and future perspectives. The methodology employed is based on a systematic review of scientific literature, combined with a comparative analysis of existing models. Some of the most popular LLMs, such as GPT-4, LaMDA, Claude, etc., are presented with their architectures and applications. This comparative analysis highlights the strengths and weaknesses of each model. The article also offers selection guidelines to help users choose the most suitable LLM for their needs. These guidelines are based on a multi-criteria approach, considering factors such as model size, performance, required resources, and ethical considerations. The impact of this article is significant, as it provides a valuable resource for researchers, developers, and LLM users. By offering a clear and structured overview of this complex field, it facilitates the understanding and adoption of these technologies. By following the selection guidelines presented in this article and staying informed about the latest trends, one can choose the LLM that will achieve its objectives effectively and efficiently.