Leveraging Large Language Models for Web3D: Applications, Challenges, and Future Directions

被引:0
|
作者
Tanksale, Vinayak [1 ]
机构
[1] Ball State Univ, Dept Comp Sci, Muncie, IN 47306 USA
来源
2023 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE, CSCI 2023 | 2023年
关键词
Large Language Models; Web3D; Neural Networks; Transformers; Artificial Intelligence;
D O I
10.1109/CSCI62032.2023.00045
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Large language models have emerged as powerful tools for natural language processing tasks, offering a wide array of applications in various domains. This paper explores the potential of leveraging large language models for Web3D applications, focusing on their role in content generation, natural language interaction, personalization, and knowledge integration. We examine the benefits and challenges associated with the integration of large language models in Web3D environments, along with ethical considerations. Furthermore, we discuss future directions and potential research avenues for advancing the utilization of large language models in the context of Web3D.
引用
收藏
页码:254 / 259
页数:6
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