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I’m having a hard time imagining how failure to see an image would result in such a misleadingly specific wrong output instead of e.g. “nothing” or “it’s nonsen
by aendruk 1y ago
I’m having a hard time imagining how failure to see an image would result in such a misleadingly specific wrong output instead of e.g. “nothing” or “it’s nonsense with no significant visual interpretation”. That sounds awful to work with.
- tough 1y agoFun fact,you can prompt the llm's with no input and random nonsense will come out of them
- exe34 1y agoAnd if you set the temperature to zero, you'll get the same output every time!
- sigmaisaletter 1y agoLLMs have a very hard time saying "I am useless in this situation", because they are explicitly trained to be a helpful assistant. So instead of saying "I can't help you with this picture", the thing hallucinates something. That is the expected behavior by now. Not hard to imagine at all.
- aendruk 1y agoNo controls in the training data?