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Pre-training refers to the process of initializing a model with pre-existing knowledge before fine-tuning it on specific tasks or datasets. In the context of AI, pre-training involves leveraging large-scale datasets to train a model on general tasks, enabling it to capture essential features and patterns across various domains. ~Lark

Extracted from: pre-training-fine-tuning-and-kungfu.md