What is the main innovation of the multi-token prediction method?
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Answers ( 2 )
The multi-token prediction method innovates by predicting multiple future tokens at each position in the training corpus, rather than just the next token. Each token's loss is calculated independently, and the method optimizes the order of forward and backward propagation to reduce GPU memory usage without increasing training time.
The core innovation of the Multi-token Prediction for Large Language Models method is its ability to predict multiple future tokens simultaneously at each position during training. This is achieved using independent output heads for each token, with each prediction having its own cross-entropy loss. This approach enhances the model's learning efficiency and performance.