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Least to Most
Least to Most prompting starts with the simplest aspects of a problem and progressively tackles more complex parts, building a cumulative solution that ensures thorough understanding in layered or hierarchical tasks, and the analogy is like climbing a mountain by first conquering the foothills before attempting the peak, ensuring a stable ascent.
Examples
User Prompt: Solve math: 1+1=2, then 2+2=4, now 10+10. AI Response: 20.
User Prompt: Plan a trip: Choose city, then hotel, then itinerary. AI Response: City: Paris, Hotel: 3-star, Itinerary: Day 1 sightseeing.
User Prompt: Debug code: Check syntax, then logic, then run. AI Response: Syntax fixed, logic error in loop, runs now.
Advantages
- Improves handling of complex tasks by incremental solving, enhancing prompt efficiency.
- Reduces overwhelm, making responses more structured.
- Boosts accuracy in layered problems, aligning prompts with gradual build-up.