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A data scientist is explaining the pre-training process for large language models (LLMs). Which description BEST represents what happens during pre-training?
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During pre-training, LLM weights are randomly initialized and then trained on large amounts of text data using a language modeling objective (such as predicting the next token or masked tokens). This process allows the model to learn language patterns, knowledge, and reasoning capabilities from the training corpus.
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