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The Energy Cost of AI: Unraveling Myths and Realities
This chapter examines the significant energy consumption associated with large language models (LLMs) and contrasts it with public perceptions of AI operations. It highlights the disparities in energy usage between generative and extractive models and discusses the industry’s trend towards smaller, more efficient models to promote sustainability. The conversation emphasizes the importance of transparency in AI research and the challenges posed by proprietary models in ensuring replicability and accessibility.