自动汇总
计算机科学
领域(数学)
人工智能
机器翻译
生成语法
自然语言处理
自然语言生成
数据科学
建筑
自然语言
数学
艺术
视觉艺术
纯数学
作者
Moatsum Alawida,Sami Mejri,Abid Mehmood,Belkacem Chikhaoui,Oludare Isaac Abiodun
出处
期刊:Information
[MDPI AG]
日期:2023-08-16
卷期号:14 (8): 462-462
被引量:169
摘要
This paper presents an in-depth study of ChatGPT, a state-of-the-art language model that is revolutionizing generative text. We provide a comprehensive analysis of its architecture, training data, and evaluation metrics and explore its advancements and enhancements over time. Additionally, we examine the capabilities and limitations of ChatGPT in natural language processing (NLP) tasks, including language translation, text summarization, and dialogue generation. Furthermore, we compare ChatGPT to other language generation models and discuss its applicability in various tasks. Our study also addresses the ethical and privacy considerations associated with ChatGPT and provides insights into mitigation strategies. Moreover, we investigate the role of ChatGPT in cyberattacks, highlighting potential security risks. Lastly, we showcase the diverse applications of ChatGPT in different industries and evaluate its performance across languages and domains. This paper offers a comprehensive exploration of ChatGPT’s impact on the NLP field.
科研通智能强力驱动
Strongly Powered by AbleSci AI