Metaphorical Analysis of Large Language Model Training Processes

The article uses baking as a metaphor to explain the training process of large language models (LLMs), distinguishing between pre-training and post-training phases. It highlights that pre-training involves large-scale data processing to establish foundational model parameters, while post-training focuses on iterative refinements to improve specific performance aspects.

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