Comment by Xenoamorphous
1 year ago
“Ten” is a word, “10” are digits.
I’m not a native English speaker, how would you write it?
FWIW the LLMs get it right many times, but fail other times.
1 year ago
“Ten” is a word, “10” are digits.
I’m not a native English speaker, how would you write it?
FWIW the LLMs get it right many times, but fail other times.
I couldn't understand the original wording either, but after reading one of the sibling comments that explains it, it suddenly made sense.
I think you left out a few words that most English writers would include. So instead of:
> "ensure that numbers from one to ten as written as words and numbers greater ten as digits in the given text",
something like the following might be better for most people:
> "ensure that the numbers from one to ten are written as words, and the numbers greater ten are written using numerical digits in the given text"
There are multiple ways to write this, so other people may have better versions.
I'm not an English grammar expert, so I cannot explain to you why the addition of those extra words helps with the clarity of that sentence.
Much better, but still missing "than" after "greater", which seems kind of critical.
"Using" is important as a number greater than ten can't be written as a digit, but can be written using digits ("with" would be just as good). Repeating "written" makes it clearer that there are two instructions.
It's funny, I didn't notice the missing "than" until much later. After I learned the intended meaning of the original sentence, my mind just seemed to insert the missing "than" automatically.
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Hilariously, you can ask GPT 4 to explain the “why” of arbitrary grammar fixes.
It’s a common style guide in newspapers.
If your not a native English speaker, why are you even expecting the LLM to understand even 80% of the time?
Just ask it in your own native language.
First of all, the texts the rule has to be applied to are written in English. Second, I believe English is by far (by far) the most prevalent language in the training dataset for those models, so I’d expect it to work better at this kind of task.
And third, I’m not the only one working on this problem, there are others that are native speakers, and as my initial message stated, there have been many variations of the prompt. None work for all cases.
And lastly, how would you rewrite my sample prompt? Which BTW bad a typo (unrelated to my English skills) that I’ve now fixed.
To be frank the response itself indicates that you don't really get what was being asked, or maybe how to parse English conversation conventions?
I.e. It doesn't seem to answer the actual question.
They seem to be half responding to the second sentence which was a personal opinion, so I wasn't soliciting any answers about it. And half going on a tangent that seems to lead away from forming a direct answer.
Run these comment through a translation tool if your still not 100% sure after reading this.
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