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Understanding Language Models: Patterns in Tokens
Language models operate by generating responses based on patterns observed in token sequences. Each word or part of a word corresponds to a numerical representation, which is processed to create coherent text outputs. This process involves mimicking the way humans predict language, enabling users to better engage with and leverage the model by recognizing its function of identifying and extending linguistic patterns.