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Great Power, Great Responsibility: Recommendations for Reducing Energy
  for Training Language Models

Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models

19 May 2022
Joseph McDonald
Baolin Li
Nathan C. Frey
Devesh Tiwari
V. Gadepally
S. Samsi
ArXivPDFHTML

Papers citing "Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models"

4 / 4 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
61
0
0
08 Feb 2025
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
S. Hor
Ying Qian
Mert Pilanci
Amin Arbabian
23
0
0
06 Feb 2024
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
244
644
0
21 Apr 2021
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
280
2,015
0
28 Jul 2020
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