7 Easy Tricks to Take Your ChatGPT Prompts to the Next Level
Last Updated on April 22, 2024 by Editorial Team
Author(s): Mia Dwyer
Originally published on Towards AI.
Fine-Tuning AI Responses with Savvy Prompt Engineering
I donβt know about you, but as much as I love ChatGPT, specifically GPT 4, one thing I cannot stand is the tone in which it writes, and its habit of inundating me with reams of text when I ask a basic question. In this article, weβll be going over some tips + tricks Iβve found to be invaluable for dramatically improving the quality of output from Large Language Models.
Image created by me, using DALL-E.
The following additions to the end of your prompt can dramatically change the output of the LLM and shows how you can leverage prompt engineering to finesse the type of responses you get.
Here we can see how this approach to the prompt impacts the length and depth of the response, which in many contexts might be more what we want as a response, especially on a new topic. I regularly use this when Iβm asking ChatGPT to explain concepts to me or write a short paragraph.
Note the significant difference in output between the original prompt (left) and with the addition of βno yappingβ (right)
With the addition of βplease donβt overwhelm meβ to our query βCan you explain what RAG is in AIβ we are showcasing how… Read the full blog for free on Medium.
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Published via Towards AI