LLM Training: Pre-training Builds Capability, Post-training Shapes Behavior

The article distinguishes between pre-training and post-training in large language models, explaining that pre-training imbues models with their fundamental capabilities. Post-training, however, is where the model's specific behaviors and alignment are shaped, offering users a degree of influence over these aspects. AI

IMPACT Clarifies the distinct roles of pre-training and post-training in LLM development, impacting how developers and users understand model behavior.

RANK_REASON The article discusses concepts related to LLM training rather than announcing a new model or research finding.

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