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Learning about prompt engineering will help, but my guess is- it'll evolve too with newer versions of GPT and it's significance could go down as we get bigger a
by dstala 4y ago
Learning about prompt engineering will help, but my guess is- it'll evolve too with newer versions of GPT and it's significance could go down as we get bigger and higher dimension models.
If I'd already developed an application- I would explore ways to make it AI native app. Question I'll be asking myself would be: is there anything in my app that needs prediction, classification or generation? Will my app user gets any benefit out of it?
For example: if HN was my app,I could show more relevant articles based on my history or comments. But does end user really need it? That's answer we should dig in ourself though
- ElijahLynn 4y agoGood point, prompt engineering is going to be a very useful skill! Prompt engineering appears to be similar to quality search skills. Learning how to use a search engine for instance, is a key skill that many engineers don't spend time on. I bet a bunch of people reading now don't know you can make sure a word is not included in a search, e.g.'javascript -coffee' or quote a word to make sure it appears e.g. 'javascript "dom"' or use the OR operator e.g. 'javascript OR ecmascript'. All part of the skill of searching, which I consider to be a "multiplier skill", multiplier skills are something where the value pays large dividends over time, much larger than the time invested. Good prompt engineering is going to be a key skill, both for image generation and text generation.
- dstala 4y agoRight keyword - "multiplier skill"! You have said it right. Prompt engineering can be treated that way.