Prompt Engineering Best Practices from OpenAI

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Best practices for prompt engineering with the OpenAI API 

 Summary

1. Use the latest, most capable OpenAI models for best results, as newer models tend to be easier to prompt engineer. 1
2. Put instructions at the beginning of the prompt and use ### or """ to separate the instruction and context. This is more effective than just providing the text to be summarized. 1
3. Be as specific, descriptive, and detailed as possible about the desired context, outcome, length, format, style, etc. Vague prompts lead to less useful outputs. 1
4. Break down complex tasks into smaller, more manageable steps. Provide examples and reference text to guide the model. 123
5. Use delimiters like ### or """ to clearly separate different parts of the prompt, such as instructions, context, and desired output format. 12
6. Avoid "fluffy" or imprecise language in the prompt. Be clear and concise about what you want the model to do. 1
7. Experiment and iterate. Try different approaches and make gradual improvements to your prompts based on the model's responses. 3

By following these best practices, you can create more effective prompts that lead to higher quality and more useful outputs from OpenAI's language models.