6 Prompting Tips Based on a Review of 1,500+ Research Papers

Allie K. Miller shares a summary of six prompting tips derived from a comprehensive review of over 1,500 research papers on prompt engineering. The tips she highlights include using more examples in prompts whenever reasonable and randomly ordering those examples rather than clustering similar ones together. The post references what AI experts consider a foundational paper on prompt engineering, positioning it as essential reading for anyone working with large language models.

While the full thread appears truncated, the visible tips emphasize the importance of few-shot prompting best practices — specifically that quantity and ordering of examples significantly impact AI model performance. This kind of research-backed guidance is valuable for practitioners looking to move beyond intuition-based prompting toward more systematic, evidence-driven approaches.