Analyzing thousands of trends, both industry/niche specific and society wide. Tracking campaigns that work by monitoring social media likes, references to past slogans, etc. Potentially dedicating thousands of years worth of brain power and analysis to the coffee shop down the street's new slogan.
currently using it like driving a junior programmer.
after gpt has written some functions to my specs in natural language.
I can say for example:
- "add unit tests". It writes for all functions tests. Not perfect but not bad for short instruction like this.
- rewrite x to include y etc
the original post way back was talking about marketing, they were underwhelmed. I recently generated some slogans. They sucked.
When someone mentioned predictability/accuracy how does that apply to marketing slogans. I know how it applies to writing unit tests. The unit tests writing comes pretty close to the original posters definition of GPT as filling out templates. The sucky slogans I got were also very template like.
Would accuracy be if slogans did not suck?
At any rate there seems to be a lot of things people want to use it for where the terms accuracy / predictability don't make much sense. So making claims based on those qualities naturally causes me to ask how do they apply to all these cases - such as slogan generation where accuracy predictability are not normally metrics that apply.
what exactly is performance/accuracy in slogan generation?