Should we really call it "engineering" if its a case of "try random things until one of them works without really knowing why"?
GPT-Prompt-Engineer
11–20 of 166 posts
Re: GPT-Prompt-Engineer
#12A bit like an autoGPT, I did not immediately see any kind of token limits. But I did not look carefully. On a complex problem or one that accesses a lot of data the cost might ramp up.
Re: GPT-Prompt-Engineer
#13Should we really call it "engineering" if its a case of "try random things until one of them works without really knowing why"?
That's called machine learning.
Re: GPT-Prompt-Engineer
#14Should we really call it "engineering" if its a case of "try random things until one of them works without really knowing why"?
That's called machine learning.
Gradient descent type optimization is far from "trying random things until one of them works without really knowing why". You can calculate all partial derivatives and understand the impact.
Re: GPT-Prompt-Engineer
#15Should we really call it "engineering" if its a case of "try random things until one of them works without really knowing why"?
Looks more like science here. Run a bunch of experiments and see which does better.
But literally the first sentence of the readme is "Prompt engineering is kind of like alchemy."
Re: GPT-Prompt-Engineer
#16Doug Adams would've had so much fun these days.
His genius laid in not only seeing which technologies were coming, but predicting what perversions business people would twist it into.
Re: GPT-Prompt-Engineer
#17Should we really call it "engineering" if its a case of "try random things until one of them works without really knowing why"?
Looks more like science here. Run a bunch of experiments and see which does better. But literally the first sentence of the readme is "Prompt engineering is kind of like alchemy."
alchemy is kind of like science before a lot of principles were formalized.
Re: GPT-Prompt-Engineer
#18Re: GPT-Prompt-Engineer
#19How are they actually ranked?
It seems like a `ranking_system_prompt` is used to rank the output of other prompts, which is pretty cool! > Your job is to rank the quality of two outputs generated by different prompts. The prompts are used to generate a response for a given task. You will be provided with the task description, the test prompt, and two generations - one for each system prompt. Rank the generations in order of quality. If Generation…
How did they rank the ranking prompt?
Re: GPT-Prompt-Engineer
#20Earlier quoted context omitted.
That's called machine learning.
Gradient descent type optimization is far from "trying random things until one of them works without really knowing why". You can calculate all partial derivatives and understand the impact.
Sure you can, but you can also throw things in randomly and see what works then build theory around it.