A Comprehensive Review of Transformer-Based Models: ChatGPT and Bard in Focus

被引:0
|
作者
Illangarathne, Pooja [1 ]
Jayasinghe, Nethari [1 ]
de Lima, A. B. Duweeja [1 ]
机构
[1] Informat Inst Technol, Sch Comp, Colombo, Sri Lanka
关键词
Transformer Models; ChatGPT; Bard AI; Artificial Intelligence; Natural Language Processing; Recurrent Neural Networks; Long Short-Term Memory; Generative Pre-trained Transformer; BERT; Language Model Applications; ARTIFICIAL-INTELLIGENCE; ACCURACY;
D O I
10.1109/ICAIBD62003.2024.10604437
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This review paper provides a thorough analysis of transformer-based models, specifically ChatGPT and Bard, exploring their many uses, underlying difficulties, and potential future developments. Through a synthesis of current research findings, it highlights the transformational power and possible drawbacks of these models in a variety of fields. The study delves deeper into the moral issues, societal ramifications, and complex roles these models play in fields including environmental research, digital forensics, healthcare, and education. The changing field of artificial intelligence is also covered, emphasizing the necessity of domain-specific modifications as well as the significance of resolving ethical and technological issues in the ongoing creation and use of increasingly sophisticated AI systems.
引用
收藏
页码:543 / 554
页数:12
相关论文
共 50 条
  • [1] Transformer-Based Sensor Fusion for Autonomous Vehicles: A Comprehensive Review
    Abdulmaksoud, Ahmed
    Ahmed, Ryan
    IEEE ACCESS, 2025, 13 : 41822 - 41838
  • [2] Transformer-based models for combating rumours on microblogging platforms: a review
    Anggrainingsih, Rini
    Hassan, Ghulam Mubashar
    Datta, Amitava
    ARTIFICIAL INTELLIGENCE REVIEW, 2024, 57 (08)
  • [3] EEG Classification with Transformer-Based Models
    Sun, Jiayao
    Xie, Jin
    Zhou, Huihui
    2021 IEEE 3RD GLOBAL CONFERENCE ON LIFE SCIENCES AND TECHNOLOGIES (IEEE LIFETECH 2021), 2021, : 92 - 93
  • [4] On the robustness of arabic aspect-based sentiment analysis: A comprehensive exploration of transformer-based models
    Almasaud, Alanod
    Al-Baity, Heyam H.
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2024, 36 (10)
  • [5] Transformer-based models for multimodal irony detection
    Tomás D.
    Ortega-Bueno R.
    Zhang G.
    Rosso P.
    Schifanella R.
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (6) : 7399 - 7410
  • [6] Transformer-based Extraction of Deep Image Models
    Battis, Verena
    Penner, Alexander
    2022 IEEE 7TH EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY (EUROS&P 2022), 2022, : 320 - 336
  • [7] On Robustness of Finetuned Transformer-based NLP Models
    Neerudu, Pavan Kalyan Reddy
    Oota, Subba Reddy
    Marreddy, Mounika
    Kagita, Venkateswara Rao
    Gupta, Manish
    FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS - EMNLP 2023, 2023, : 7180 - 7195
  • [8] Object detection using convolutional neural networks and transformer-based models: a review
    Shrishti Shah
    Jitendra Tembhurne
    Journal of Electrical Systems and Information Technology, 10 (1)
  • [9] Task-Specific Transformer-Based Language Models in HealthCare:Scoping Review
    Cho, Ha Na
    Jun, Tae Joon
    Kim, Young-Hak
    Kang, Heejun
    Ahn, Imjin
    Gwon, Hansle
    Kim, Yunha
    Seo, Jiahn
    Choi, Heejung
    Kim, Minkyoung
    Han, Jiye
    Kee, Gaeun
    Park, Seohyun
    Ko, Soyoung
    JMIR MEDICAL INFORMATICS, 2024, 12
  • [10] Adaptation of Transformer-Based Models for Depression Detection
    Adebanji, Olaronke O.
    Ojo, Olumide E.
    Calvo, Hiram
    Gelbukh, Irina
    Sidorov, Grigori
    COMPUTACION Y SISTEMAS, 2024, 28 (01): : 151 - 165