Mastodawn

I think I have a genuine need for an #LLM. Can someone tell me if this is possible?

@openbenches contains ~40k text inscriptions.

Someone wants to know how many are dedicated to men, how many to women.

"To Grandma Sylvia" is obvious.
"To R Smith" is not.

Could an AI give a rough estimate of the gender of a subject?

Could it ignore text relating to who the inscription is from? "To Granny from Dave and Alice".

What would be the most accurate / cheapest / fastest / easiest tool to work with?

@Edent there are tools for this long before llms, like https://github.com/miriamposner/derive_gender/blob/master/derive-gender-from-a-column-of-first-names.md question is, how big can you margin of error be. If you want to know if it 70:30 it could work. If you want to know more exact numbers, it'll be difficult. There are papers looking into this before llms. https://www.medrxiv.org/content/10.1101/2024.01.30.24302027v1.full I didn't look for anything LLM related, because the underlaying issue of name/gender ambiguity exists no matter the technology. Tell me the gender of Jay, Andrea, Ridley, Robin etc

@dahie thanks - that's a good starting point.