Least-to-Most Prompting: Decompose, Then Solve in Order
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Hard, multi-step problems break LLMs — they leap to the answer and slip on a middle step. Least-to-Most Prompting fixes it: make the model decompose the problem into sub-problems first, then solve them in order, each building on the last. 🧩 Watch one-shot vs least-to-most: https://dev48v.infy.uk/prompt/day18-least-to-most.html Two stages Decompose — ask the model to break the problem into simpler sub-problems, ordered easiest → hardest. Solve sequentially — answer sub-problem 1, then feed its…
1Key Takeaways
- Hard, multi-step problems break LLMs — they leap to the answer and slip on a middle step.
- Least-to-Most Prompting fixes it: make the model decompose the problem into sub-problems first, then solve them in order, each building on the last.
- 🧩 Watch one-shot vs least-to-most: https://dev48v.infy.uk/prompt/day18-least-to-most.html Two stages Decompose — ask the model to break the problem into simpler sub-problems, ordered easiest → hardest.
- Solve sequentially — answer sub-problem 1, then feed its….
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that hard, multi-step problems break LLMs — they leap to the answer and slip on a middle step.
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