Unverified50% confidenceFactExact time
MemT-1.0 adopts a two-stage training pipeline: continued pre-training plus post-training.
1
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50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
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UnverifiedModern large model training is typically divided into three stages: pre-training, mid-training, and post-training.73% similarUnverifiedMemT-1.0's training pipeline uses 34B tokens of training data.71% similarVerifiedIn 2018, BERT introduced the two-stage paradigm of pre-training plus fine-tuning.67% similarUnverifiedThe learning rate during the SFT stage is typically 1–2 orders of magnitude lower than during pre-training, to avoid disrupting the general knowledge learned during the pre-training stage.62% similar
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