natural language processing

“The NLP isn't quite there. It may never get there.”

“There's a kind of a sense that in the community that the next set of techniques to kind of fall to deep learning, if you want, will be natural language processing.”

“So, natural language processing the simplest answer is yes. The longer answer is processing the language isn't the hard, I mean, that's the hard part. It's not one we're gonna do. Dealing with the language once you have it is something we're obviously very int…”

“The really amazing thing and the reason why I'm saying there's a bit of a new breakthrough coming up now is that we can actually solve a lot of different NLP problems now with the same kind of deep learning model, and this is one that we've just developed A co…”

“Basically anything that is really hard for you to do as a human is still gonna be pretty hard for us.”

“Notice I did not quite use buzzwords like NLP, or deep learning, or data science, or machine learning, which I could very well have used, but I don't think it's that useful.”

“I believe that NLP today is the most important field of machine learning.”

“We're really moving from a world where only humans could do natural language, which is why you have search large customer support, sales, community, communication departments in companies.”

“I believe that in in three years, every single company in the world will use NLP. And even more than that, I believe that in three years, a company that is not using NLP will be in a systematic disadvantage compared to a company that is using NLP, because it m…”

“The only meaningful way to adopt to adopt NLP and LLMs is in the cloud”

“Where we see this going is what open AI and all that we're doing is really a really fantastic and spectacularly aggressive commoditization of NLP and some other machine learning capabilities.”

“It's gonna be audio, it's gonna be video, it's gonna be biology, chemistry, AI. These are, in my opinion the domains that in the next few years are going to change the world the same way NLP has in the past.”

“The way careers work is you want to be kind of novel, but if you're too novel, if you're too far out there, then your papers will get rejected, and that certainly happened to me a lot in the early days, like, 2010 of neural networks for natural language proces…”