Research difference between GPT-2 and GPT-3

Abstract

The field of natural language processing has witnessed significant advancements in recent years, with the advent of cutting-edge language models like GPT-2 and GPT-3. These models, developed by OpenAI, have been revolutionary in generating human-like text and have found applications in various domains. This paper aims to provide a comprehensive comparison between GPT-2 and GPT-3, highlighting their dissimilarities in terms of architecture, model size, training data, capabilities, and limitations. The analysis reveals that while GPT-2 is a powerful language model with remarkable performance, GPT-3 takes the capabilities of text generation and manipulation to unprecedented heights.