Generative AI: a systematic review using topic modelling techniques
Generative artificial intelligence (GAI) is a rapidly growing field with a wide range of applications. In this paper, a thorough examination of the research landscape in GAI is presented, encompassing a comprehensive overview of the prevailing themes and topics within the field. The study analyzes a...
Saved in:
Main Authors: | Gupta, Priyanka, Ding, Bosheng, Guan, Chong, Ding, Ding |
---|---|
Other Authors: | College of Computing and Data Science |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/178610 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Cognitive technologies
by: DAVENPORT, Tom
Published: (2024) -
Building a web based AI-powered job applicator
by: Yap, Regine Hui Xin
Published: (2024) -
Refining ChatGPT-generated code: Characterizing and mitigating code quality issues
by: LIU, Yue, et al.
Published: (2024) -
Are we ready to embrace generative AI for software Q&A?
by: XU, Bowen, et al.
Published: (2023) -
LLM4Vis: Explainable visualization recommendation using ChatGPT
by: WANG, Lei., et al.
Published: (2023)