GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Yenduri, Gokul; Ramalingam, M.; Chemmalar Selvi, G.; Supriya, Y.; Srivastava, Gautam; Kumar Reddy Maddikunta, Praveen; Deepti Raj, G.; H. Jhaveri, Rutvij; Prabadevi, B.; Wang, Weizheng; V. Vasilakos, Athanasios; Reddy Gadekallu, Thippa

doi:10.1109/access.2024.3389497

Public

GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Published in IEEE Access • Jan 1, 2024

Authors:

Gokul Yenduri

M. Ramalingam

G. Chemmalar Selvi

Abstract

The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that can understand and communicate using language in a manner that closely resembles that of humans. GPT is based on...

Subject

Computer science

Transformer

Architecture

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