Conditional Generation with 'If-Then' Logic
Conditional generation involves explicitly telling the AI to produce different outputs based on specified conditions, using 'if-then' or 'when-then' logic within your prompt. This transforms a single-purpose prompt into a flexible template. For example, when generating responses to customer inquiries, you could prompt: 'If the customer asks about shipping, provide estimated delivery times. If they ask about returns, explain the 30-day policy.' Before, you'd run separate prompts for each scenario; after, one prompt handles multiple common queries, generating contextually appropriate answers. This streamlines repetitive tasks efficiently.
Think of it like a smart vending machine: if you press the 'water' button, it gives water; if you press 'soda,' it gives soda. The machine reacts differently based on your input choice.
Implement 'if-then' statements in your prompts to create versatile AI tools that handle multiple scenarios or variations within a single interaction, reducing rework and increasing output relevance.
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