Recent Advances in AI: Exploring the Impact of GPT-4 and Beyond

Anjaneyulu Prabala Sriram

doi:10.32628/CSEIT25111240

Authors

Anjaneyulu Prabala Sriram Software Technology, Inc., USA Author

DOI:

https://doi.org/10.32628/CSEIT25111240

Keywords:

Large Language Models, Artificial Intelligence, Neural Architecture, Multimodal Processing, Machine Learning

Abstract

This article examines the transformative impact of GPT-4 on artificial intelligence, focusing on its architectural innovations, technical capabilities, and industry applications. The article encompasses GPT-4's advancements in code understanding, healthcare applications, and multimodal processing capabilities. Through comprehensive evaluation of its performance across various domains, we explore both the model's achievements and current limitations. The article examines computational efficiency challenges, temporal reasoning capabilities, and reliability concerns while discussing future research directions in architecture evolution and training methodologies. Our findings indicate that while GPT-4 represents a significant leap forward in AI technology, addressing key challenges in efficiency and knowledge integration will be crucial for future development.

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