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Actually, i did mean to write human.
Don't remember where I read it, but one of the LLM developers said that the best prompt engineers are the ones that can communicate very effectively with humans. If you know how to clearly talk to a fellow researcher, with attention to detail, in a structured manner, you'll be very good at talking to that machine too. The other way around, learning how to make good prompts to talk to an LLM will make you better at communicating with people.
Ohh, interesting! Obviously, I didn't know that since I thought it was just a typo, lol
I wasn't very clear then... I won't be hired as an expert prompt engineer now ;)
Has the way these LLMs fit into your SN dev routine evolved since last year?
I am a total cursor fanboy now
This looks cool. I should test if it works well in the context of Python and/or Fortran code.
One year later, I can say: this absolutely checks out.
Very much yes to this. AI will create new jobs (prompt engineers for example) and make other jobs obsolete. You need to a) adapt to technology or b) be old enough that people don't mind that you don't adapt or c) become obsolete.
As has always been the case with (disruptive) technologies afaik.
Btw, I think there is a typo in what I quoted:
still getting confused when to say GPT and when to say LLM.