Explains model parameters, tokens, and scaling laws in plain language. Learn how size, data quality, and training choices affect cost and accuracy—and how to pick the right model for a task.
Parameters in AI models are learnable values that the model adjusts during training to minimize prediction errors. They're similar to coefficients in mathematical equations, but on a much larger scale:
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