Five proven prompt engineering techniques (and a few more-advanced tactics)

Summary

Summarized wtih ChatGPT

Mike Taylor shares effective techniques for prompt engineering to get better results from AI. He emphasizes that clear guidance improves AI responses and provides practical tactics for users. By experimenting with different styles and structures, users can enhance the AI’s performance.

Key Takeaways:

1. Use role-specific prompts to guide AI responses.
2. Break down expert styles to tailor AI outputs.
3. Provide examples to improve accuracy in AI-generated content.

Highlights from Article

Something as simple as appending the words “in the style of [insert famous person]” can make a huge difference to the results you get.

• Give great prompt engineering approaches:
• Role playing (you are an expert..)
• Style (Describe the elements of expert and then do it in that style)
• Emotional blackmail
• Few shot learning with examples
• Synthetic bootstrap with fake data

All material owns to the authors, of course. If I’m highlighting or writing notes on this, I mostly likely recommend reading the original article, of course.

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