npub163k0gvm3x8s7qqjnukf6a2jq4nus3s74j7y64pctcgrwy3nmsllswwhljx (npub163k…hljx) the problem is the LLM dataset. The input data must be nearly 100% accurate or the AI will learn incorrectly. There are millions of images out the, a huge dataset, but almost all have small mistakes.
Also, how do we input the known good results? Radiology reports, like all dictated reports, have transcription errors that humans can parse but that would likely break the model.
This means every image used for learning must be manually reviewed and typo-corrected.
Baronet Michael :verified: /
npub1hp…e75x3
2023-10-05 15:35:18
in reply to nevent1q…rszp
Author Public Key
npub1hpyg69txhnyul5ym68s5szluplscvgq7qcxn66q2jqxyv4vjcsnsce75x3Published at
2023-10-05 15:35:18Event JSON
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