I've seen countless social media posts this year from AI enthusiasts certain they'll not only survive but do well, as AI replaces jobs, by becoming prompt engineers...
https://www.zdnet.com/article/uh-oh-now-ai-is-better-than-you-at-prompt-engineering/
You've just figured out your next career move: becoming a wiz at prompt engineering, the art of crafting the best input phrase to a generative artificial intelligence program such as OpenAI's ChatGPT.
Not so fast: The art of prompting may itself be taken over by automation via large language models.
In a paper posted last week by Google's DeepMind unit, researchers Chengrun Yang and team created a program called OPRO that makes large language models try different prompts until they reach one that gets closest to solving a task. It's a way to automate the kinds of trial and error that a person would do by typing.
The research paper, "Large Language Models as Optimizers," posted on the arXiv pre-print server, details an experiment in how to "optimize" anything with a language model, meaning, to make the program produce better and better answers, getting closer to some ideal state.
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More at the article link.
Link to that scientific paper:
https://arxiv.org/pdf/2309.03409.pdf
This may put a dent in sales of all the quickie books and courses promising to turn people into highly paid prompt engineers.