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I do not believe this story, because of the message I just posted above. That's not really productive lol, I'm glad it worked for you but these models are non-
by Insanity 4mo ago
I do not believe this story, because of the message I just posted above.
That's not really productive lol, I'm glad it worked for you but these models are non-deterministic and 'YMMV' very much applies everywhere. I had it parse receipts (in fairness, in variable lightning), all taken from iPhone cameras in the past year. And yeah, not a great job, about 20% failed to get the date correct. (Not outrageously wrong, e.g 05/20/2026 becomes 05/23/2026.
YMMV, glad it worked for you.
- bpodgursky 4mo agoAre you sure you weren't using Sonnet or a low-effort reasoning mode?
- Insanity 4mo agoYes, lol
- deleted 4mo ago[deleted]
- Barbing 4mo agoYour experience appears in line with at least this leaderboard: https://arbitrhq.ai/leaderboards https://arbitrhq.ai/leaderboards