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Task Decomposition
Task Decomposition prompting dissects a major objective into smaller, sequential components, facilitating systematic execution and resolution of intricate challenges through manageable segments, and the analogy is like disassembling a machine into its parts to repair it, fixing one component at a time before reassembling the whole.
Examples
User Prompt: Build a website: Plan layout, write code, test. AI Response: Layout: Header and footer. Code: HTML/CSS. Test: Browser check.
User Prompt: Cook a meal: Prep ingredients, cook, serve. AI Response: Chop veggies, boil pasta, plate dish.
User Prompt: Plan vacation: Book flights, hotel, itinerary. AI Response: Flights: Round trip. Hotel: 3-star. Itinerary: Day 1 sightseeing.
Advantages
- Improves complexity management, enhancing prompt efficiency for large tasks.
- Reduces errors by focusing on sub-tasks, making solutions modular.
- Boosts structured outputs, aligning prompts with sequential solving.