Enhance your ChatGPT prompts!
Here are 26 ChatGPT Prompt Principles (backed by research): ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎
Researchers from the Mohamed bin Zayed University of Artificial Intelligence developed 26 principles to enhance the effectiveness of prompts used with ChatGPT and similar advanced models.
Their aim was to simplify the concept of prompt engineering, enabling users to efficiently interact with various sizes of Large Language Models (LLMs). ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎
Here are some essential insights:
Prioritize Clarity: Ensure prompts are clear, brief, and to the point, providing just the right amount of context to guide the model. For complex queries, divide them into smaller, more manageable parts.
Define Expectations: Explicitly outline what you need and the limitations for the LLM's response. This approach helps in tailoring the model's outputs to meet your specific requirements.
Foster Interactive Communication: Promote a conversational approach, where the LLM can ask questions for clarification before offering a response. This process helps in gathering more detailed information for improved outcomes.
Match Formality Levels: Adjust the tone and style of your prompts to reflect the intended role of the LLM. Different responses are elicited based on whether the language used is formal or informal.
Manage Complex Inquiries: When dealing with challenging or technical prompts, break them down into smaller steps or consider various constraints, such as creating code that spans multiple files.
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