21–30 of 76 posts
Carpenter -> Wood engineer
Tailor -> Fabric engineer
Ceramist -> Clay engineer
See how dumb it looks? And maybe the field is too new to have a specific word for it, but calling it "engineer" diminishes the level of actual engineers.
i feel like people that get really into prompt engineering seem to forget that other people are working on building models that are even better . Do they really think that the tricks they developed to make gpt3.5 work well will still be necessary on gpt9 (or whatever new model replaces gpt)? if you want a long-lasting career in AI you need to work on the actual AI stuff, not just using the AI stuff.
The culture war surrounding prompt engineering is so dumb. My eyes roll hard into the back of my head every time I read a comment like this. Prompt engineering is not the same as programming. In some regards, it is “better”. In other regards, it is “worse”. They’re two different yet similar disciplines, each with their own strengths and weaknesses, but both equally legitimate. Programming is simply the skill of being…
https://www.reddit.com/r/datascience/comments/14nbwfv/where_...
So, the new thing is that we're going to call everyone an engineer? Carpenter -> Wood engineer Tailor -> Fabric engineer Ceramist -> Clay engineer See how dumb it looks? And maybe the field is too new to have a specific word for it, but calling it "engineer" diminishes the level of actual engineers.
Reading that article makes me wonder if we're even talking about the same thing.
So, the new thing is that we're going to call everyone an engineer? Carpenter -> Wood engineer Tailor -> Fabric engineer Ceramist -> Clay engineer See how dumb it looks? And maybe the field is too new to have a specific word for it, but calling it "engineer" diminishes the level of actual engineers.
It is very rare I think for completely new words to emerge nowadays.
Prompt engineer is descriptive and you can guess its meaning.
i feel like people that get really into prompt engineering seem to forget that other people are working on building models that are even better . Do they really think that the tricks they developed to make gpt3.5 work well will still be necessary on gpt9 (or whatever new model replaces gpt)? if you want a long-lasting career in AI you need to work on the actual AI stuff, not just using the AI stuff.
The culture war surrounding prompt engineering is so dumb. My eyes roll hard into the back of my head every time I read a comment like this. Prompt engineering is not the same as programming. In some regards, it is “better”. In other regards, it is “worse”. They’re two different yet similar disciplines, each with their own strengths and weaknesses, but both equally legitimate. Programming is simply the skill of being…
So, the new thing is that we're going to call everyone an engineer? Carpenter -> Wood engineer Tailor -> Fabric engineer Ceramist -> Clay engineer See how dumb it looks? And maybe the field is too new to have a specific word for it, but calling it "engineer" diminishes the level of actual engineers.
When you say diminished, are you are talking from a societal point of view?
Prompt Engineering is a fun title in a fast moving and interesting field. Everyone's taking it far too seriously.
I'm going off to become a Clay Engineer, that sounds fun!
As someone who’s spent an unreasonable amount of time working with prompting for both text and text-to-image, I can confidently say prompt engineering does work for any nontrivial use cases (e.g generation with constraints). I don’t like that prompt engineering works, but it does, and proper use of it does result in objective improvements in generation quality. The latest ChatGPT model, gpt-3.5-turbo-0613 has better…
i feel like people that get really into prompt engineering seem to forget that other people are working on building models that are even better . Do they really think that the tricks they developed to make gpt3.5 work well will still be necessary on gpt9 (or whatever new model replaces gpt)? if you want a long-lasting career in AI you need to work on the actual AI stuff, not just using the AI stuff.
Back in the day, when those new fangled relationship database things came on the scene, do you think people would have been well advised to try and find work on the actual database engine itself, instead of the more frivolous work of using the new technology to, say, solve actual business problems?