3 ms·
Things like OCR or detection ML models don’t generally have the same drawbacks / hallucinations as LLMs for example. They’re not 100% accurate but they also won
by coffeebeqn 2y ago
Things like OCR or detection ML models don’t generally have the same drawbacks / hallucinations as LLMs for example. They’re not 100% accurate but they also won’t return made up results. Detecting a pattern is very different from any kind of “reasoning”
- ben_w 2y agoTwo things: 1. OCR absolutely does "hallucinate", and the word better suits that domain of OCR than the domain of LLMs as OCR will sometimes "see" text that doesn't actually exist. 2. This isn't OCR, it's more like contrast enhancement on a CT scan. Looking at a the project website, there's other work to figure out the shape of the paper surface because that's not obvious or simple either. The output of this model is what might be given to an OCR, but given how noisy the picture in the article is, I suspect not.