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by OJFord 489 days ago
Not GP but it depends what you mean by accuracy. If you want inference like the 'coconut milk' described then obviously an LLM. If you want accurate as-written transcription, then I don't know the state of the art, but it'll be something purpose built for CV & handwriting recognition.

It'll also depend if you care about tabular data, whether a 'minor' numerical error (like 0 & 8 mismatched sometimes) is significantly worse than a 'typo' as it were in recognising a word, etc.

1 comments

Accuracy should always work to be the answer you want, which is the most useful answer for applications. That is "coconut milk", not "coconut cnbc". Maybe "cnbc" should even be included, but definitely not replacing the word "milk" in that location.