logoalt Hacker News

trollbridge • yesterday at 7:08 PM • 1 reply • view on HN

This is exactly what we’ve been doing.

For example, a client want a classifier to decide to make a go/no go decision on roofing jobs based on weather. The end result doesn’t use LLMs at all, but does use a lot of other techniques including human feedback when it makes the wrong call.

(Now the work crew gets the decision at 5 AM instead of 5:30 and the guy making the decision doesn’t have to wake up at all.)


Replies

harpiaharpyja • yesterday at 8:02 PM

(Presumably you mean the guy affected by the decision?)

➕ show 1 reply