2024-09-19 1025词 困难
Large language models have a keen appetite for electricity. The energy used to train OpenAI’s gpt-4 model could have powered 50 American homes for a century. And as models get bigger, costs rise rapidly. By one estimate, today’s biggest models cost $100m to train; the next generation could cost $1bn, and the following one $10bn. On top of this, asking a model to answer a query comes at a computational cost—anything from $2,400 to $223,000 to summarise the financial reports of the world’s 58,000 public companies. In time such “inference” costs, when added up, can exceed the cost of training. If so, it is hard to see how generative ai could ever become economically viable.
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