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Hauptverfasser: Xu, Jiajun, Wang, Qun, Cao, Yuhang, Zeng, Baitao, Liu, Sicheng
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2408.10230
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author Xu, Jiajun
Wang, Qun
Cao, Yuhang
Zeng, Baitao
Liu, Sicheng
author_facet Xu, Jiajun
Wang, Qun
Cao, Yuhang
Zeng, Baitao
Liu, Sicheng
contents This paper investigates integrating large language models (LLMs) with advanced hardware, focusing on developing a general-purpose device designed for enhanced interaction with LLMs. Initially, we analyze the current landscape, where virtual assistants and LLMs are reshaping human-technology interactions, highlighting pivotal advancements and setting the stage for a new era of intelligent hardware. Despite substantial progress in LLM technology, a significant gap exists in hardware development, particularly concerning scalability, efficiency, affordability, and multimodal capabilities. This disparity presents both challenges and opportunities, underscoring the need for hardware that is not only powerful but also versatile and capable of managing the sophisticated demands of modern computation. Our proposed device addresses these needs by emphasizing scalability, multimodal data processing, enhanced user interaction, and privacy considerations, offering a comprehensive platform for LLM integration in various applications.
format Preprint
id arxiv_https___arxiv_org_abs_2408_10230
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A General-Purpose Device for Interaction with LLMs
Xu, Jiajun
Wang, Qun
Cao, Yuhang
Zeng, Baitao
Liu, Sicheng
Hardware Architecture
Artificial Intelligence
Computation and Language
Human-Computer Interaction
Robotics
This paper investigates integrating large language models (LLMs) with advanced hardware, focusing on developing a general-purpose device designed for enhanced interaction with LLMs. Initially, we analyze the current landscape, where virtual assistants and LLMs are reshaping human-technology interactions, highlighting pivotal advancements and setting the stage for a new era of intelligent hardware. Despite substantial progress in LLM technology, a significant gap exists in hardware development, particularly concerning scalability, efficiency, affordability, and multimodal capabilities. This disparity presents both challenges and opportunities, underscoring the need for hardware that is not only powerful but also versatile and capable of managing the sophisticated demands of modern computation. Our proposed device addresses these needs by emphasizing scalability, multimodal data processing, enhanced user interaction, and privacy considerations, offering a comprehensive platform for LLM integration in various applications.
title A General-Purpose Device for Interaction with LLMs
topic Hardware Architecture
Artificial Intelligence
Computation and Language
Human-Computer Interaction
Robotics
url https://arxiv.org/abs/2408.10230