Machine Learning Embeddings with Edo Liberty

Programming Throwdown

Patrick Wheeler and Jason Gauci

Objective C, Java, Programming Throwdown, Education, News, Programming Languages, How To, Tech News, C, Python

4.6 • 604 Ratings

🗓️ 27 September 2021

⏱️ 60 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

How can you tell if two images are similar? What about two videos, or two podcast episodes? Finding similar items in a data set is the foundation of Search, Recommendations, Spam Fighting, and many other areas of machine learning. To do this, we need some examples of images that are similar & not similar (called labels), and a method that can learn patterns from these examples (called a model). Today we have Edo Liberty, CEO of Pinecone, on the show to dive into how embeddings are trained and how to quickly find the similar groups of items from millions (even billions!) of examples.

Transcript

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0:00.0	Programming Throwdown Episode 120 Machine Learning Embeddings with Edo Liberty.
0:21.9	Take it away, Jason.
0:24.4	Hey, everybody. How's it going?
0:28.1	I know a lot of folks out there ask about AI and machine learning.
0:31.9	Patrick's done some machine learning stuff in the health space.
0:36.0	I do a lot of machine learning stuff, or at least I pretend to, in my day job. And so a lot of people write to us, messages on Twitter, asking questions along these lines. And so it's always a real pleasure where we can talk about, you know, kind of an area that we really love. And this is right in the heart of it. We're going to be talking a lot about machine learning embeddings, which is a term you might not have heard before, but you're going to really enjoy it. And it's something that is extremely, extremely useful. I'm extremely lucky that we have Ido Liberty here, who is an expert in this area. He's the CEO of Pinecoe, and he's here to talk to us about embeddings and kind of riff on that. So thanks so much for coming on the show, Ida. Yeah, thanks for inviting me, guys.
1:12.4	Cool. So we ask a lot of folks this lately, how has COVID kind of changed your business?
1:17.8	Are you back in the office yet or what's going on with that?
1:21.7	Half are and half aren't. So the California folks are still at home. New York folks are back in the office.
1:28.2	Israel folks are back in the office. Oh, I see. Is that because of local laws or just how
1:34.2	people felt in those areas? It's a bit of both, a bit of both. I'm a big believer in people
1:40.1	hanging out together and seeing each other and having lunch together and getting to know
1:46.1	each other a little bit better than on Zoom.
1:47.7	So I'm pushing everybody who wants to be together to be together.
1:52.5	Yeah.
1:53.5	Yeah, totally agree.
1:54.5	Totally agree.
1:55.5	I wonder if we'll end up with, remember WeWork?
1:58.0	I think is WeWork still a thing?
2:00.0	Probably is still a thing,
2:01.0	even though they had all sorts of issues as a company. But that might be the kind of thing where
2:05.2	physically you're next to a bunch of people that you can socialize with, but you actually all
	...

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