The amount of training data required to surpass the current version of ChatGPT is not a straightforward answer, as many factors can influence the performance of a language model, including the size and quality of the training data, the model architecture, the computational resources used for training, and the evaluation metrics used to assess performance. However, training data is a crucial factor in the development of language models, and generally, larger and more diverse datasets can lead to improved performance.
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