this post was submitted on 15 Jul 2023
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So what are the fundamentals in prompt engineering?
It’s impossible for me to comprehensively summarise in a comment because everyone has different use cases.
Personally, every new ‘project’ of mine requires a new chat. I first teach chatgpt-4 who I am, what I do, and how I want gpt-4 to assist me. Then I ask it to generate a project profile and to analyse documents using plugins.
The key is to work step-by-step and develop a string of prompts. Once I’m happy gpt-4 understands the project, I ask it to draft an overview/outline using headings and subheadings.
Lastly, I work on each section individually, ‘filling in’ the actual content. Then I edit and ask it to review problematic sections.
Most people, as far as I can tell, seem to think it’s a single ask-and-answer process. It’s not. I often need to draft about 10 prompts – about 3000 words – in order to generate one 10 page document.
I think the most important fundamental is to use templates. Pro tip: use gpt-4 to teach you how to develop your prompt templates.
Please tell me more about document analysis plugins. This workflow is so much more tooled to using GPT for work projects.
How long on average would you say it takes to generate your prompt template for a project?
Sounds like you spend all day talking to a robot and then copy/paste it's final output.
When you eventually pass these 10 page documents down the line do you cite your source?
Do you have an anonymized example of one of these templates? I’m curious to see what they may look like.
This is exactly how I use it. It seems that some people can't figure this out by themselves.
Which is ironic, as it seems like their way could be more work than doing it themselves.