Description
Green AI: Building Sustainable Machine Learning Systems
As artificial intelligence becomes increasingly central to business operations, its environmental footprint grows exponentially. Training large AI models can consume as much energy as five cars’ lifetime emissions, making the environmental impact of AI development a critical concern for responsible organizations.
The emergence of Green AI practices represents a fundamental shift in how we approach machine learning development, focusing on creating models that are not only accurate but also environmentally conscious. By adopting energy-efficient practices in AI development, organizations can reduce their carbon footprint while often achieving better performing and more cost-effective solutions.
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