[Prompt Engineering ②] I tried to awaken the thinking of AI (LLM) with "magic words"
Published:Dec 25, 2025 08:03
•1 min read
•Qiita AI
Analysis
This article discusses prompt engineering techniques, specifically focusing on using "magic words" to influence the behavior of Large Language Models (LLMs). It builds upon previous research, likely referencing a Stanford University study, and explores practical applications of these techniques. The article aims to provide readers with actionable insights on how to improve the performance and responsiveness of LLMs through carefully crafted prompts. It seems to be geared towards a technical audience interested in experimenting with and optimizing LLM interactions. The use of the term "magic words" suggests a simplified or perhaps slightly sensationalized approach to a complex topic.
Key Takeaways
- •Prompt engineering can significantly impact LLM behavior.
- •Specific phrases or "magic words" can influence LLM responses.
- •Stanford University research provides a basis for these techniques.
Reference
“前回の記事では、スタンフォード大学の研究に基づいて、たった一文の 「魔法の言葉」 でLLMを覚醒させる方法を紹介しました。(In the previous article, based on research from Stanford University, I introduced a method to awaken LLMs with just one sentence of "magic words.")”