Will there be an LLM (as good as GPT-4) that was trained with 1/100th the energy consumed to train GPT-4, by 2026?
Will there be an LLM (as good as GPT-4) that was trained with 1/100th the energy consumed to train GPT-4, by 2026?
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The total power consumption could be estimated to be around 50-60 million kWh for training GPT-4.
1/10th of this energy = 5-6 million kWh
1/100th of this energy = 0.5-0.6 million kWh
See calculations below:
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If such a model is trained on synthetic data generated with a precursor model, does this take into account the energy used to train the precursor + run inference on it to produce the synthetic data?
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Yes! Manifold is very well calibrated, with forecasts on average within 4 percentage points of the true probability. Our probabilities are created by users buying and selling shares of a market.
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