GPT

Prompt Design Patterns

Prompt Design Patterns Zero-shot — clear instructions without examples; best for simple, well-defined tasks Few-shot — curated examples demonstrating desired behavior; critical for format-sensitive outputs Chain-of-Thoug

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### Prompt Design Patterns
- **Zero-shot** — clear instructions without examples; best for simple, well-defined tasks
- **Few-shot** — curated examples demonstrating desired behavior; critical for format-sensitive outputs
- **Chain-of-Thought (CoT)** — step-by-step reasoning; use for math, logic, multi-hop tasks
- **Tree-of-Thought (ToT)** — parallel exploration of reasoning paths; use for complex decision-making
- **ReAct** — interleaved reasoning + action; use for tool-using agents
- **Role-based** — persona assignment ("You are a senior..."); sets tone and domain expertise
- **Structured output** — JSON/XML/Markdown templates; use for downstream parsing

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Source-listed license: GPL-3.0. Prompt text is preserved; titles and previews may be shortened for display. Source examples are not NexGateHub test results.

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