Which sustainable practice has been shown to reduce the carbon footprint of large language model training by up to 70% according to 2023 research?

The language technology industry is increasingly focused on sustainability initiatives as AI language models consume significant computational resources. Companies are exploring ways to reduce their carbon footprint while delivering powerful language tools. This poll tests your knowledge about recent sustainability innovations in language processing technology and how the industry is addressing environmental concerns.

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Training exclusively on recycled datasets
Knowledge distillation techniques that create smaller, efficient models from larger ones
Running training operations only during daylight hours to utilize solar power
Outsourcing all language processing to countries with hydroelectric power