Are tokens and parameters the same thing?
No. Tokens are units of input or generated content. Parameters are learned numerical values that the model uses to process tokens and compute predictions.
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No. A smaller model with better data, training, or task adaptation can outperform a larger model on a particular workload or evaluation.
The prompt changes the model's temporary activations and context. In ordinary inference, it does not change the learned parameter values stored in the model.
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