Unverified50% confidenceFactExact time
Incremental pre-training uses unlabeled plain-text corpora, and the training objective is still predicting the next token; in essence it is continued pre-training.
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10/23/2026
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UnverifiedThe in-context predictor is optimal for topics never seen during training; it relies on the prompt for on-the-fly adaptation rather than on stored parameters.78% similarUnverifiedPrompteina's training pipeline consists of two steps: text-conditioned pretraining and residue-level alignment fine-tuning.78% similarUnverified预训练阶段模型通过自监督学习方式（通常是下一个 token 预测任务）在海量文本语料（通常达数万亿 token 规模）上进行训练76% similarUnverifiedTraining from scratch means not using any pretrained weights, but instead completing the full training process on a new dataset with randomly initialized parameters.75% similarVerifiedSelf-supervised learning is the core paradigm of the pre-training phase, where the model constructs training signals from the data itself through a next-token prediction task.75% similar
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