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Use Specific Prompts to Cut Costs
Use specific, detailed prompts to get more accurate responses from LLMs and reduce token costs.
Iterative Image Prompting
Similar to text, image generation benefits from iteration. Start with a basic prompt, then refine it by adding details, styles (e.g., 'photorealistic', 'impressionist'), or camera angles.
Chain of Density Prompting
To generate more detailed and nuanced content, first ask for a brief outline, then ask the LLM to expand on each point, and then ask it to add specific examples or data. This is a form of 'Chain of Density'.
The 'Pretend To Be' Prompt
Example: 'I am a software developer. Pretend to be a senior architect and review my proposed design [design details].' Helps frame interaction.
Progressive Disclosure
For complex tasks, reveal information progressively. Start with basic requirements, get initial output, then add more specific constraints or details.
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