What type of training data is used when teaching large language models to identify patterns between words, concepts, and phrases?
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Correct answer: Vast amounts of text.
Why this is the answer
Large language models learn relationships in language by processing text-based patterns across words, phrases, and concepts. This training helps the model predict likely language sequences and generate coherent responses. Text data is the relevant input because the task focuses on language understanding and generation. Images, physical interactions, and live conversations are not the core training source for this type of model.
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