Standard forward pass. The model's forward() method must be a standard tensor-in, logits-out computation. No problem-specific control flow (for-loops over digits, explicit carry variables, string manipulation) inside forward(). The autoregressive generation loop lives outside the model, exactly as it would for any language model.
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The cumulative effect of implementing all seven tactics is substantial. Each strategy individually improves your chances of appearing in AI responses, but they work synergistically when combined. Content that includes specific statistics, appears in community discussions, answers natural language questions directly, presents information in structured formats, exists consistently across platforms, shows clear freshness signals, and implements proper schema markup sends multiple reinforcing signals that AI models recognize and value.