The chapter delves into a study by Epoch AI on the potential data exhaustion for training large language models, exploring strategies like tapping into private data or generating synthetic data to overcome limitations. It also examines the scalability and energy consumption issues of models like GPT-4, emphasizing the importance of developing more efficient models targeted at specific tasks.

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