Terence Eden9h ago

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?

Show threadBen C7h ago
@Edent sidestepping the question a little bit, given you’re not aiming for complete accuracy, could you randomly sample 100 or so and work out the proportion manually? A bit tedious I’m sure but maybe no more so than trying to train your own model. I’d be happy to do a few if you wanted to outsource the work.
Show threadTerence Eden
@bencc That might be one approach. Given the geographic distribution, I'm not sure how feasible it is.
You're very welcome to give it a go if you want?
No pressure though!
5:33pmWeb
Show threadBen C3h ago

@Edent Well I had a quick go, 20 selected at random broke down as:

both: 4
f: 5
m: 9
n/a: 2

A second batch of 20 to compare broke down as:

both: 4
f: 5
m: 8
n/a: 2
unknown: 1 (ashley)

Surprisingly consistent (and corrected for the missing one). Be interested how those compare with a bigger analysis.