Hallucinations, like depression, is a multifaceted issue. Training data is only a piece of it. Quantized models, overfitted training models rely on memory at the cost of obviously correct training data. Poorly structured Inferences can confuse a model.
it’s only going to get worse, especially as datasets deteriorate.
With things like reddit being overrun by AI, and also selling AI training data, i can only imagine what mess that’s going to cause.
Hallucinations, like depression, is a multifaceted issue. Training data is only a piece of it. Quantized models, overfitted training models rely on memory at the cost of obviously correct training data. Poorly structured Inferences can confuse a model.
Rest assured, this isn’t just training data.
yeah there’s also this stuff as well, though i consider that to be a more technical challenge, rather than a hard limit.
I think you are spot on. I tend to think the problems may begin to outnumber the potentials.
and we haven’t even gotten into the problem of what happens when you have no more data to feed it, do you make more? That’s an impossible task.
There’s already attempts to create synthetic data to train on