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From Cloud to Edge: Rethinking Generative AI for Low-Resource Design
  Challenges

From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges

20 February 2024
Sai Krishna Revanth Vuruma
Ashley Margetts
Jianhai Su
Faez Ahmed
Biplav Srivastava
ArXivPDFHTML

Papers citing "From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges"

3 / 3 papers shown
Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
J. H. Liu
Yao Du
Kun Yang
Yan Wang
Xiping Hu
Z. Wang
Y. Liu
Peng Sun
Azzedine Boukerche
Victor C.M. Leung
43
0
0
03 May 2025
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
217
499
0
03 May 2023
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,774
0
24 Feb 2021
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