OMG, then it is even more impressive than I thought! There's no way GPT-3 knows the part in parentheses is supposed to be "the monolog", or even what a monolog is supposed to be. And yet based on the pattern between Q, A and the text inside and outside the parentheses, it can mimic the effect of answering the question with "monolog". It shows GPT-3's capability to capture something that's super "meta". I wonder what can it do, if we feed GPT-3 with the philosophical discussions between Socrates and his students. Could we essentially teach GPT-3 the dialectical discussion method, and creating a real Sage that we can converse with?!
Yeah it's very capable to follow patterns.
Here are some more fun examples that I posted on my Twitter: https://twitter.com/blixt/status/1285274259170955265
The fact that it can take vague English and turn it into fully functional code or shell commands is quite amazing. It's not just that it finds the correct result from its training data, it can also tweak parts of the output to correctly match your free text query.
What amazes me is that all those super meta "patterns" are already embedded in GPT-3's giant model. As compared to GPT-2, where you'd need to have your own large dataset to fine-tune for a specific use case/ the pattern you want to support. For instance, we fine-tuned GPT-2 against all episodes of South Park's scripts, and it took a long time to fine-tune. It kinda succeeded generating a model that "speaks south park" with pretty decent character alignment. (https://www.soulreplica.com/brodown). I'm wondering if GPT-3 can achieve the same effect with just a few lines of South Park script? Does GPT-3 already know how Cartman usually talks?
Re:Teaching GPT-3 to Identify Nonsense
by justinpombrio on Wednesday July 29, 2020 @08:14PM
(#23992990)
> But all the answers/monologs in my comment were 100% GPT-3!
Were they the first output, or did you run it multiple times? (And if so, about how many?)
Yo, GPT-3 is freaky!
Re:Teaching GPT-3 to Identify Nonsense
by JoeSmithson on Wednesday July 29, 2020 @06:14PM
(#23992172)
Wow. What did the training prompts look like?
The way it works is you first give it a few sample lines, and those do include both the Q and A parts, and then GPT-3 generates consistent output based on the pattern of your samples. But all the answers/monologs in my comment were 100% GPT-3!