Correspondence : ChatGPT: tackle the growing carbon footprint of generative AI

Jiafu AN; Wenzhi DING; Chen LIN

Correspondence : ChatGPT: tackle the growing carbon footprint of generative AI

Jiafu AN, Wenzhi DING, Chen LIN

Lingnan University

Research output: Other Publications › Other Article › Communication

Abstract

Microsoft, Google and Meta are investing billions of dollars in generative artificial intelligence (AI) such as the large language model ChatGPT, released by OpenAI in San Francisco, California. But the features that make these models so much more powerful than their predecessors also impose a much heavier toll on the environment. We propose a framework for more sustainable development of generative AI.

Original language	English
Volume	615
Specialist publication	Nature
Publication status	Published - 23 Mar 2023

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https://www.nature.com/articles/d41586-023-00843-2

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title = "Correspondence : ChatGPT: tackle the growing carbon footprint of generative AI",

abstract = "Microsoft, Google and Meta are investing billions of dollars in generative artificial intelligence (AI) such as the large language model ChatGPT, released by OpenAI in San Francisco, California. But the features that make these models so much more powerful than their predecessors also impose a much heavier toll on the environment. We propose a framework for more sustainable development of generative AI.",

author = "Jiafu AN and Wenzhi DING and Chen LIN",

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N2 - Microsoft, Google and Meta are investing billions of dollars in generative artificial intelligence (AI) such as the large language model ChatGPT, released by OpenAI in San Francisco, California. But the features that make these models so much more powerful than their predecessors also impose a much heavier toll on the environment. We propose a framework for more sustainable development of generative AI.

AB - Microsoft, Google and Meta are investing billions of dollars in generative artificial intelligence (AI) such as the large language model ChatGPT, released by OpenAI in San Francisco, California. But the features that make these models so much more powerful than their predecessors also impose a much heavier toll on the environment. We propose a framework for more sustainable development of generative AI.

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SN - 0028-0836

VL - 615

JO - Nature

JF - Nature

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Correspondence : ChatGPT: tackle the growing carbon footprint of generative AI

Abstract

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