Large language models are trained on datasets of this scale—100 billion tokens represent roughly 75 million words of text. This volume enables nuanced understanding and generation of human language. AI researchers and developers benefit from training models with such data, achieving higher accuracy in tasks like translation, summarization, and code generation.
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