GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:54608-54649
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yenduri Gokul¹,Ramalingam M.²^ORCID,Selvi G. Chemmalar²^ORCID,Supriya Y.²,Srivastava Gautam³^ORCID,Maddikunta Praveen Kumar Reddy²^ORCID,Raj G. Deepti²^ORCID,Jhaveri Rutvij H.⁴^ORCID,Prabadevi B.²^ORCID,Wang Weizheng⁵^ORCID,Vasilakos Athanasios V.⁶^ORCID,Gadekallu Thippa Reddy⁷^ORCID

Affiliation:

1. School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India

2. School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India

3. Department of Mathematics and Computer Science, Brandon University, Brandon, MB, Canada

4. Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India

5. Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China

6. Center for AI Research (CAIR), University of Agder (UiA), Grimstad, Norway

7. Center of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10500411.pdf?arnumber=10500411

Reference209 articles.

1. Pre-Trained Models: Past, Present and Future

2. Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognition

3. Chatting about ChatGPT: how may AI and GPT impact academia and libraries?

4. ChatGPT for good? On opportunities and challenges of large language models for education

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DeepExtract: Semantic-driven extractive text summarization framework using LLMs and hierarchical positional encoding;Journal of King Saud University - Computer and Information Sciences;2024-10

2. Assessing knowledge about medical physics in language-generative AI with large language model: using the medical physicist exam;Radiological Physics and Technology;2024-09-10

3. Leveraging Generative AI in Short Document Indexing;Electronics;2024-09-08

4. Comprehensive review and comparative analysis of transformer models in sentiment analysis;Knowledge and Information Systems;2024-09-06

5. Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis;Intelligent Systems with Applications;2024-09