3 ms·
But not because you only trained up to examples of two.
by cma 4y ago
But not because you only trained up to examples of two.
- ben_w 4y agoI don't know what point you're making, GPT-3 almost certainly has training examples for greater depth. Pattern recognition can fail. Mine does, GPT's does. I count further than I subitize, but from experience my mind may wander and I may lose track after 700 of a thing even if there's literally nothing else to focus on. But I still didn't notice an error at depth 3.
- cma 4y agoIt seems transformers don't generalize in this class and neural turing machines and neural stack machines do. You get the general rule (in linguistics known as competency) but can't flawlessly do it (performance). Transformers can't seem to get competence here. https://en.m.wikipedia.org/wiki/Linguistic_competence https://en.m.wikipedia.org/wiki/Linguistic_competence
- ben_w 4y agoAh, gotcha. Thanks for the clear explanation and the link! :)