Unverified50% confidenceFactExact time
A base model refers to a raw model that has only undergone pre-training, without instruction fine-tuning or human preference alignment.
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50%
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Long-term
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10/28/2026
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UnverifiedThe systematic process for debugging a non-converging model is to first verify on a very small data subset whether the model can overfit; if it cannot overfit even on small data, it indicates a bug in the model or training code.76% similarVerifiedA Foundation Model refers to a large-scale pre-trained model that can serve as a general-purpose base to be fine-tuned for downstream tasks or directly invoked.76% similarUnverifiedDuring pretraining, the model learns statistical relationships among various tendencies, and these relationships form across the entire corpus rather than existing in any single document.75% similarUnverifiedDuring the pretraining phase, the model's objective function is typically to maximize the log-likelihood of the next token and does not include signals for refusing to answer.75% similar
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