Re:GPT-3 has no idea what it’s talking about
by nmca on Saturday August 22, 2020 @12:05PM
(#24245009)
This isn't true, sampling can produce novel output (and often does).
Re:GPT-3 has no idea what it’s talking about
by Der_Einzige on Saturday August 22, 2020 @02:48PM
(#24246263)
Uhhh, no. If your model is using subword tokenization like fasttext or... BERT with wordpiece (and the GPT-X models do this...), than you can generate entirely new words. Wasn't there a demo about doing exactly this a few days ago?
Re:GPT-3 has no idea what it’s talking about
by skatesor on Saturday August 22, 2020 @05:02PM
(#24247237)
Again, it's all coming from somewhere. Humans can react to stimuli in the natural environment and produce sounds and turn them into words. GPT has to be spoonfed a dataset a human made at some point.
Re:GPT-3 has no idea what it’s talking about
by sjg007 on Saturday August 22, 2020 @12:29PM
(#24245204)
Words it has to have seen,, but sentences no. It is generating new sentences. I think it can “name” things as well.
Re:GPT-3 has no idea what it’s talking about
by nmca on Saturday August 22, 2020 @04:07PM
(#24246879)
This is not true, BPE can back off to characters so arbitrarily character strings can be generated.
Re:GPT-3 has no idea what it’s talking about
by c8g on Saturday August 22, 2020 @12:38PM
(#24245264)
you have a reply from machine :)
https://philosopherai.com/philosopher/you-have-to-remember-t...
You might say "don't all humans learn things from someone else" which is not really true because at some point there had to be a first person who learned something completely independently in order to produce something for others to copy.