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I've only noticed that combination (failure of short everyday tasks from SOTA models) on image comprehension, not text. So some model will misclassify my Ameri
by ben_w 11mo ago
I've only noticed that combination (failure of short everyday tasks from SOTA models) on image comprehension, not text.
So some model will misclassify my American black nightshade* weeds as a tomato, but I get consistently OK results for text out from good models unless it's a trick question.
* I recon, at least; looked like this to me: https://en.wikipedia.org/wiki/Solanum_americanum#/media/File:Solanum_americanum_(4898754585).jpg https://en.wikipedia.org/wiki/Solanum_americanum#/media/File...
- iLoveOncall 11mo agoThe research from Metr, and my comment, is exclusively related to software development tasks.
- ben_w 11mo agoRe-reading my comment, I realise I missed the most important part, the question. What examples can you give of "real world situations" where they fail? Obviously I don't want to use them for whatever that is.