Plan-and-Solve: make the model plan the steps before it computes any of them
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Ask a plain language model a multi-step word problem and it will often blurt out a confident number that is wrong — not because the model is dumb, but because it quietly skipped a step or fumbled the arithmetic. "Let's think step by step" (zero-shot chain-of-thought) helps a lot, yet the same two mistakes survive. Plan-and-Solve (PS) prompting is a one-line upgrade that targets exactly those two failure modes: first make the model devise a plan of subtasks, then make it carry out the plan in…
1Key Takeaways
- Ask a plain language model a multi-step word problem and it will often blurt out a confident number that is wrong — not because the model is dumb, but because it quietly skipped a step or fumbled the arithmetic.
- "Let's think step by step" (zero-shot chain-of-thought) helps a lot, yet the same two mistakes survive.
- Plan-and-Solve (PS) prompting is a one-line upgrade that targets exactly those two failure modes: first make the model devise a plan of subtasks, then make it carry out the plan in….
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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 ask a plain language model a multi-step word problem and it will often blurt out a confident number that is wrong — not because the model is dumb, but because it quietly skipped a step or fumbled the arithmetic.
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