๐๐ก Green AI โ The First Step Toward Awareness and Action ๐ก๐
๐๐ก Green AI โ The First Step Toward Awareness and Action ๐ก๐
Artificial Intelligence (AI) holds immense potential to solve global challenges, but we cannot overlook its environmental impact. As AI models grow largerโespecially Large Language Models (LLMs) and Generative AI systemsโtheir energy demands and carbon emissions scale significantly. Green AI focuses on addressing this by reducing the carbon footprint and energy consumption of AI development and deployment.
To raise awareness and encourage action, Iโve created a Sustainable AI repository ๐ (https://lnkd.in/dWBRfEEu) . This open community resource is designed to help AI practitioners minimize the environmental footprint of their AI workloads.
๐ Features of the Repo:
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๐ง Tools to monitor and reduce energy consumption and carbon emissions.
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๐ Research papers on the latest developments in Green AI (2022-2024), including the impact of LLMs and Generative AI.
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๐ References to methodologies and standards that guide sustainable AI practices, such as energy-efficient model training, carbon-aware software development, and tools for measuring the environmental impact of AI workloads.
This is just the first step. The real power of Green AI lies in community collaboration. You are invited to contribute, share your ideas, and help build a sustainable AI future together. Feel free to create a pull request and join this open community. ๐ฑ