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How to estimate carbon footprint when training deep learning models? A
  guide and review

How to estimate carbon footprint when training deep learning models? A guide and review

14 June 2023
Lucía Bouza
Aurélie Bugeau
Loïc Lannelongue
    HAI
ArXivPDFHTML

Papers citing "How to estimate carbon footprint when training deep learning models? A guide and review"

3 / 3 papers shown
Title
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
S. Poddar
Paramita Koley
Janardan Misra
Niloy Ganguly
Saptarshi Ghosh
Saptarshi Ghosh
64
0
0
08 Feb 2025
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends
Ian Schneider
Hui Xu
Stephan Benecke
David Patterson
Keguo Huang
Parthasarathy Ranganathan
Cooper Elsworth
70
2
0
01 Feb 2025
Mitigating Memorization In Language Models
Mitigating Memorization In Language Models
Mansi Sakarvadia
Aswathy Ajith
Arham Khan
Nathaniel Hudson
Caleb Geniesse
Kyle Chard
Yaoqing Yang
Ian Foster
Michael W. Mahoney
KELM
MU
58
1
0
03 Oct 2024
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