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> This is because (1) current AI models need an enormous training set relative to humans They need an enormous training set compared to humans because they can
by naasking 4y ago
> This is because (1) current AI models need an enormous training set relative to humans
They need an enormous training set compared to humans because they can do a lot more than any single human. The breadth of knowledge that ChatGPT can synthesize
across all sorts of subjects from politics, to poetry to programming would need at least 1,000 humans working in concert.
I'm not sure a training set specifically tailored to healthcare would need to be quite so large.
- ben_w 4y agoNot only, but also. I tried training a facial expression classifier on one of the Kaggle data sets, and although it passed against its own self-managed test set, it thought absolutely every real-world example (not from the Kaggle set) was a smile.
- naasking 4y agoThe density of information that needs to be processed matters. Images, video and audio are all very information dense with potentially low signal-to-noise ratio, differential diagnosis on the other hand could be done with a text description of the symptoms which is an input with high signal to noise ratio (a text description written by a medical practitioner is even better).