Post by account_disabled on Feb 24, 2024 8:56:13 GMT
There's a lot of controversy in the industry right now around and how it can't be optimized. While it's absolutely true that you can't, you just have to write really good content for your users, I still think many of us get into this field because we're naturally curious. If you want to understand more and be able to explain it better to your clients or have better conversations around it, then I hope you enjoy this video. If not, and it's not for you, that's okay. Warning: Don’t overhype! I was excited to join right away. The first thing I want to mention is that I was able to sit down with natural language processing researcher Alison Ettinger. She is a professor at the University of Chicago and one of the kindest people.
Thank you so much for taking the time to talk to me. was that it's very, very Chinese Malaysia Phone Number List important not to overhype things. There's a lot of commotion happening right now, but it's still far away from the way we humans understand language and context. So I think it's important to remember that we're not overemphasizing the capabilities of this model, but it's still very exciting and it's a landmark moment for the field of machine learning.
Without further ado, let’s get straight to it. Where does it come from? I want to give everyone a broader understanding of where it comes from and where it's going. I think a lot of times these announcements are like bombs dropped on the industry, essentially a series of still frames from a movie, but no full before and after footage of the movie. We just got this frame. We got the announcement, but let's take a look back. Natural Language Processing Traditionally, computers have had a hard time understanding language. They can store text and we can input text, but understanding language has always been extremely difficult for computers.
Thank you so much for taking the time to talk to me. was that it's very, very Chinese Malaysia Phone Number List important not to overhype things. There's a lot of commotion happening right now, but it's still far away from the way we humans understand language and context. So I think it's important to remember that we're not overemphasizing the capabilities of this model, but it's still very exciting and it's a landmark moment for the field of machine learning.
Without further ado, let’s get straight to it. Where does it come from? I want to give everyone a broader understanding of where it comes from and where it's going. I think a lot of times these announcements are like bombs dropped on the industry, essentially a series of still frames from a movie, but no full before and after footage of the movie. We just got this frame. We got the announcement, but let's take a look back. Natural Language Processing Traditionally, computers have had a hard time understanding language. They can store text and we can input text, but understanding language has always been extremely difficult for computers.