Sunspot Data

First, in terms of model capacity, GPT - 4 has a much larger and more advanced architecture compared to GPT - 3.5. Sunspot cycle prediction involves complex data analysis and non - linear pattern recognition. The larger model capacity of GPT - 4 allows it to better capture the intricate relationships in the sunspot data. For example, the long - term periodicity and non - linear trends in sunspot cycles are difficult to model accurately. GPT - 4's enhanced ability to handle complex information can potentially lead to more accurate predictions.Second, the generalization ability of GPT - 4 is superior. The sunspot data we obtain from the API may have some noise and outliers. GPT - 4 is more likely to generalize well from the training data and make reliable predictions on new, unseen data. In contrast, GPT - 3.5 may overfit the training data, resulting in poor performance on the test set.