In AI models, next-token prediction accuracy improves dramatically as model parameters increase, but this improvement requires corresponding increases in model size and data cleanliness to maintain alignment.
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That leads me to believe that the the prediction of the next token as we increase the model parameters is only going to dramatically improve as we increase model size and the cleanliness of the data has to go in alignment with that.
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