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The internal variables, or “weights,” that a model learns during training. The number of parameters is often used as a measure of a model’s size and complexity (e.g., billions of parameters in an LLM).
The internal variables, or “weights,” that a model learns during training. The number of parameters is often used as a measure of a model’s size and complexity (e.g., billions of parameters in an LLM).
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