Large Language Model-Driven Immersive Agent

被引：0
|
作者：
Singh, Aditi [1 ]
Kumar, Saket [2 ]
Ehtesham, Abul [3 ]
Khoei, Tala Talaei [4 ]
Bhati, Deepshikha [5 ]
机构：
[1] Cleveland State Univ, Dept Comp Sci, Cleveland, OH 44115 USA
[2] Mathworks Inc, Natick, MA USA
[3] Davey Tree Expert Co, Kent, OH USA
[4] Northeastern Univ, Roux Inst, Khoury Coll Comp Sci, Boston, MA 02115 USA
[5] Kent State Univ, Dept Comp Sci, Kent, OH 44242 USA
来源：
2024 IEEE 5TH ANNUAL WORLD AI IOT CONGRESS, AIIOT 2024 | 2024年
关键词：
AI agent; Large Language Models; LLM Agent; Augmented Reality; multimodal agent; GPT-4; vision;
D O I：
10.1109/AIIoT61789.2024.10578948
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recent research in the field of Large Language Models (LLMs) has given a new direction to the capabilities of AI agents for solving complex problems. This paper attempts to explore one such use case to investigate LLMs-based AI agents' role in immersive technology, specifically focusing on GPT-4's vision capabilities in Augmented Reality (AR). The paper utilizes Smart App Agent Framework for recommending products. This recommendation system assists users to make context-aware decisions during their online shopping experience.
引用
收藏
页码：0619 / 0624
页数：6
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