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Some AI models get more accurate at maths if you ask them to respond as if they are a Star Trek character, ML engineers say
Researchers asking a chatbot to optimize its own prompts found it was best at solving grade-school math when acting like it was on Star Trek.
A study attempting to fine-tune prompts fed into a chatbot model found that, in one instance, asking it to speak as if it were on Star Trek dramatically improved its ability to solve grade-school-level math problems. "It's both surprising and irritating that trivial modifications to the prompt can exhibit such dramatic swings in performance," the study authors Rick Battle and Teja Gollapudi at software firm VMware in California said in their paper. Their study found that in almost every instance, automatic optimization always surpassed hand-written attempts to nudge the AI with positive thinking, suggesting machine learning models are still better at writing prompts for themselves than humans are.
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