Based on the startup's constraints, which prompting strategy would you recommend to elicit multi-step reasoning from their language model? Justify your recommendation by analyzing the trade-offs of each approach in this specific context.

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The primary distinction between few-shot and zero-shot Chain-of-Thought (CoT) prompting lies in the use of examples. Few-shot CoT requires providing one or more demonstrations of step-by-step reasoning within the prompt. In contrast, zero-shot CoT provides no such examples and instead relies on incorporating a direct instruction to trigger the model's reasoning process.

Comparison of Few-Shot and Zero-Shot CoT Prompting

A developer is designing a system to help a large language model solve a novel type of logic puzzle that requires a specific, non-obvious reasoning path. The primary goal is to maximize the model's accuracy and ensure it follows the correct logical structure. Which of the following prompt design choices is most likely to achieve this goal?

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