The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Modern Applications With a Focus on Training ChatGPT and GPT Models: Exploring Generative AI and NLP
|
Author(s): Isha Kondurkar (VIT Bhopal University, India), Akanksha Raj (VIT Bhopal University, India)and D. Lakshmi (VIT Bhopal University, India)
Copyright: 2024
Pages: 42
Source title:
Advanced Applications of Generative AI and Natural Language Processing Models
Source Author(s)/Editor(s): Ahmed J. Obaid (University of Kufa, Iraq), Bharat Bhushan (School of Engineering and Technology, Sharda University, India), Muthmainnah S. (Universitas Al Asyariah Mandar, Indonesia)and S. Suman Rajest (Dhaanish Ahmed College of Engineering, India)
DOI: 10.4018/979-8-3693-0502-7.ch010
Purchase
|
Abstract
Generative AI (GAI) and natural language processing (NLP) have emerged as the most exciting and rapidly growing fields in artificial intelligence (AI). This book chapter provides a comprehensive exploration of the advanced applications of GAI and NLP models, with a specific focus on the renowned ChatGPT model. The chapter commences by offering a concise historical overview of the development of GAI and NLP, highlighting crucial milestones and advancements in the field over the period. In order to understand the workings of the current technology sensation, we will take a brief look at the basic building blocks of GPT models, such as transformers. Subsequently, the chapter delves into the introduction of ChatGPT, presenting an extensive overview of the model, elucidating its underlying architecture, and emphasizing its unique capabilities. Furthermore, it will illustrate the training process of the GPT model followed by a fine-tuning process to deal with the current model's shortcomings.
Related Content
Wasswa Shafik.
© 2024.
25 pages.
|
Muthmainnah Muthmainnah, Eka Apriani, Prodhan Mahbub Ibna Seraj, Ahmed J. Obaid, Ahmad M. Al Yakin.
© 2024.
17 pages.
|
Arkar Htet, Sui Reng Liana, Theingi Aung, Amiya Bhaumik.
© 2024.
26 pages.
|
Shwetha Baliga, Harshith K. Murthy, Apoorv Sadhale, Dhruti Upadhyaya.
© 2024.
18 pages.
|
Manoj Kumar Pandey, Jyoti Upadhyay.
© 2024.
21 pages.
|
R. Angeline, S. Aarthi, Rishabh Jain, Muzamil Faisal, Abishek Venkatesan, R. Regin.
© 2024.
16 pages.
|
Gagan Deep, Jyoti Verma.
© 2024.
20 pages.
|
|
|