The Green AI Movement: Making Machine Learning Models More Energy-Efficient

Overview Machine learning (ML) models have accomplished amazing things in the era of artificial intelligence (AI), from surpassing human performance in games to transforming the financial and medical industries. However, this power has a price: energy use. Large models, like GPT or BERT, can take hundreds of kWh to train, and over the course of their careers, they can produce as much carbon as five automobiles. The emergence of the Green AI movement is a much-needed response to this increasing environmental impact. Green AI: What is it? The process of creating and honing machine learning models with a focus on sustainability, energy efficiency, and environmental effect is known as "green AI." In contrast, "Red AI" places a higher priority on performance and accuracy at any costs. Green AI offers a balanced approach that encourages researchers and developers to take into account efficiency measures like compute cost, power usage, and carbon footprint in additi...