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- Pre-training involves sudden mode-hopping in computation
The study reveals that during pre-training, LLMs abruptly switch between pattern-matching and generalizable intelligence, a phenomenon termed mode-hopping that defies standard optimization dynamics.
- Field
- training language models
- What they did
- Researchers built a test suite and found that during language model pre-training, they suddenly switch between memorizing patterns and showing real understanding, using intuitive thinking instead of logical reasoning.
- Why it matters
- This is important for understanding how model capabilities actually form, as standard optimization methods cannot explain these sudden shifts in behavior.
#language model#pre-training#generalization#mode-hopping#system 1#system 2
