The Evolution Of Large Language Models: A Comparative Survey Of Leading Approaches

Abstract

The exponential development of Large Language Models (LLMs) has significantly contributed to the evolution of the artificial intelligence (AI) landscape. This paper focuses on surveying several state-of-the-art LLMs, including big names in the industry like, OpenAI's GPT-4, Anthropic's Claude 3, Google's PaLM 2, and Meta's LLaMA 3.1. We evaluated these models based on their architecture, training data, performance and applications, using information from official papers, technical documentation and third-party reviews. By combining the claims from primary sources and third-party analysis, this survey hopes to give a summary of what the latest LLMs can do, what they can’t and what’s next for these cutting-edge domains of machine learning.