Climate Impact Of AI: Difference between revisions

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== Background Readings ==
*''' Efforts to quantify the CO2 impact of ML''' have been undertaken<ref name=":0">{{Cite journal|last=Lacoste|first=Alexandre|last2=Luccioni|first2=Alexandra|last3=Schmidt|first3=Victor |last4=Dandres|first4=Thomas|date=2019-10-21|title=Quantifying the Carbon Emissions of Machine Learning|url=https://arxiv.org/abs/1910.09700|journal=arXiv:1910.09700 [cs, stat]}}</ref><ref>{{Cite journal|last=Henderson|first=Peter|last2=Hu|first2=Jieru|last3=Romoff|first3=Joshua|last4=Brunskill|first4=Emma|last5=Jurafsky|first5=Dan|last6=Pineau|first6=Joelle|date=2020-01-31|title=Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning|url=http://arxiv.org/abs/2002.05651|journal=arXiv:2002.05651 [cs]}}</ref>.
 
 
== Online Courses and Course Materials ==
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== Libraries and Tools ==
*'''ML CO2 ImpacImpact''': A tool to calculate Machine Learning CO2 emissions, available [https://mlco2.github.io/impact/ here].
*'''Experiment Impact Tracker''': Anther CO2 emissions calculator providing information about power draw from CPU and GPU, hardware information, python package versions, estimated carbon emissions information, and in California realtime carbon emission information, available [https://github.com/Breakend/experiment-impact-tracker here].
*'''Microsoft Emissions Impact Dashboard''': A tool by Microsoft to track carbon emissions related to Microsoft cloud services usage, [https://www.microsoft.com/en-us/sustainability/emissions-impact-dashboard here]
* '''Codecarbon''': A software package that integrates into Python codebase to estimate the amount of carbon dioxide produced by the cloud or personal computing resources used to execute the code, [https://codecarbon.io/ here]
 
== Data ==
 
* '''Hugging Face Model Cards''': Several model cards of trained Hugging Face models report the amount of CO2 it took to train them, [https://huggingface.co/models?other=co2_eq_emissions here].
 
== References ==