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  "title": "Sustainable AI",
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  "description": "In the era of big data and even bigger machine learning models powering the current generative AI revolution, the environmental footprint of these developments can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs--both environmental and economic--of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI. This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. - Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL models - Examine ways to break down barriers and foster a more inclusive future in AI development - Explore strategies for cutting costs and minimizing ecological impact - Learn how to balance performance with efficiency in model development - Gain proficiency in cutting-edge tools that enhance the sustainability of your AI projects",
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