Unverified50% confidenceFactExact time
If the proportion of padding tokens in the training data is too high, the model will tend to predict this high-frequency symbol.
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50%
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Long-term
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10/4/2026
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Unverified过拟合的统计原理是当模型参数量相对训练数据过多时，模型会记住噪声而非学到规律78% similarUnverifiedThis study published on arXiv proposes a new proposition called Alignment Forecasting: predicting before training begins whether a given fine-tuning dataset will significantly exacerbate specific misalignment behaviors.78% similarUnverifiedDuring training, LLMs optimize parameters by maximizing the prediction probability of the next token, meaning the model learns the statistical distribution of the training corpus rather than human aesthetic judgment.77% similarUnverifiedA widely adopted strong open-source model may consume several times more inference compute over its lifetime than was invested in its training phase.77% similarUnverifiedData mixture ratio refers to the proportion of different types of data in a pre-training dataset, and profoundly affects the distribution of a model's capabilities.77% similar
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