Energy and Sustainability in NLP Model Training

This chapter explores the environmental impacts and energy costs associated with training large natural language processing models. It emphasizes the increasing computational demands and carbon footprints of these models, advocating for more efficient practices in model development. Additionally, the discussion highlights the need for improved reporting on energy consumption and encourages responsible computational methodologies to promote sustainability.