How to reduce the carbon footprint of advanced AI models - ITU Hub

As artificial intelligence (AI) steadily grows, so do concerns about its environmental footprint. Today's emerging natural language processing (NLP) models, such as GPT-3 can consume as much energy as five cars, according to a 2019 study. To reduce their environmental and climate impact, researchers in the United Arab Emirates are proposing a new development approach for these models that takes energy consumption into account at every stage, aiming to boost energy efficiency wherever possible. Last April, Abu Dhabi's Technology Innovation Institute (TII) launched NOOR, the largest Arabic-language NLP model to date. NOOR – Arabic for "light" – is trained on 10 billion parameters including books, poetry, news, and technical information, reinforcing the model's broad applicability, according to its creators.