Stanford Professor Dr. Percy Liang discusses whether large language models exhibit genuine creativity or merely regurgitate memorized text from their training data.
“You know, people say that sometimes all language models just memorize because they're so big and train on clearly a lot of texts, but these examples, I think really indicate that there's no way That these language models are just memorizing because this text just doesn't exist and you have to have some creative juice and invent something new.”
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More from Dr. Percy Liang
AssertionNot checkable as stated
Liang: The AI industry is retreating from its open culture
“And what we're seeing now is sort of a retreat of that open culture where models are now being only accessible via APIs. We don't really know all the secret sauce that's going behind them, and there's sort of limited access.”
Dr. Percy LiangApr 25, 2023▶ 5:15No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
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“I think we're getting to a point where along many axes, it's a superhuman or should be superhuman. And I think we should maybe define more of an objective measure of like what we actually want. We want something that's very reliable, is grounded. You know, I o…”
Dr. Percy LiangApr 25, 2023▶ 12:21No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
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Liang: Next-token prediction forces language models to build world models
“If you think about predicting the next word, It's, it seems very simple, but you have to really internalize a lot of what is going on in this context. What are the previous words? What's the syntax? What's who's saying them? And all of that information and con…”
Dr. Percy LiangApr 25, 2023▶ 24:54No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
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“And this was a paradigm shift, in my opinion, because it changed the way that we conceptualize Machine learning and NLP systems from these bespoke systems where you're, it's trained to do question answering, to train to do this, to just a general substrate whe…”
Dr. Percy LiangApr 25, 2023▶ 3:00No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
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Liang: Future AI models may be too powerful for unrestricted release
“I think these models are extremely powerful and maybe the models right now I think are, well, if they were out and open, it would be maybe okay, but in the future these models could be extremely good and having them, you know, anyone, anything goes. Might we m…”
Dr. Percy LiangApr 25, 2023▶ 6:00No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
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