LLMs at home? An evaluation on the feasibility of popularising On-device-ANI capable hardware in consumer grade devices

Artificial Narrow Intelligences (ANI) are rapidly becoming an integral part of everyday consumer technology. With products like ChatGPT, Midjourney, and Stable Diffusion gaining widespread popularity, the demand for local hosting of neural networks has significantly increased. However, the typical 'always-online' nature of these services presents several limitations, including dependence on reliable internet connections, privacy concerns, and ongoing operational costs. This essay will explore potential hardware solutions to popularize on-device inferencing of ANI on consumer hardware and speculate on the future of the industry.

Authors

Institutions

Publication Details

Journal
Advances in Engineering Innovation
Published
2024-08-31
DOI
https://doi.org/10.54254/2977-3903/10/2024109
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LLMs at home? An evaluation on the feasibility of popularising On-device-ANI capable hardware in consumer grade devices

Yiding Wang
Advances in Engineering Innovation
IoT and Edge/Fog Computing
article

LLMs at home? An evaluation on the feasibility of popularising On-device-ANI capable hardware in consumer grade devices

Yiding Wang
article en

Abstract

Artificial Narrow Intelligences (ANI) are rapidly becoming an integral part of everyday consumer technology. With products like ChatGPT, Midjourney, and Stable Diffusion gaining widespread popularity, the demand for local hosting of neural networks has significantly increased. However, the typical 'always-online' nature of these services presents several limitations, including dependence on reliable internet connections, privacy concerns, and ongoing operational costs. This essay will explore potential hardware solutions to popularize on-device inferencing of ANI on consumer hardware and speculate on the future of the industry.

Advances in Engineering InnovationVol. 10(1)
Wesley College (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
IoT and Edge/Fog Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

LLMs at home? An evaluation on the feasibility of popularising On-device-ANI capable hardware in consumer grade devices — Yiding Wang · Advances in Engineering Innovation (2024) | TGRS Research Map | TGRS