Extensive notes to accompany this talk: simonwillison.net/2023/Oct/23...
Жүктеу.....
Пікірлер: 22
@Clammer99914 күн бұрын
I’m totally new to embeddings and this video inspired me to want learn even more!
@martinjohnpeck7 ай бұрын
This has been a timely and really useful presentation. Thank you for posting it!
@nursenayeneredit72517 ай бұрын
These 38 minutes changed my next 38 years
@technicolourmyles
7 ай бұрын
How so? I'm still at the beginning
@_ramenАй бұрын
very great demo, thanks for sharing! this is an excellent example of practical use of embeddings.
@thanhquachable7 ай бұрын
Thanks Simon for sharing your knowledge. This video is so underrated.
@zgintasz23 ай бұрын
"vibes-based search" lol. love the term you invented.
@loicleray7 ай бұрын
That was awesome. Thank you for uploading it!
@sebastianwagner58432 ай бұрын
Things start to become magical.
@donpark28327 ай бұрын
Great talk. Thoroughly enjoyed it. Thanks!
@user-yg3io9mu1m7 ай бұрын
A nice and very inspiring presentation! Thank you!
7 ай бұрын
Great talk. Very interesting subject.
@brandonbennett78517 ай бұрын
Brilliant!!! (as always)
@curtisblake2615 ай бұрын
Impressive fast talking and fast scrolling. A lot of knowledge and experience for sure. I guess I'll have to do some digging if I want to really benefit from this lecture.
@vmstanford7 ай бұрын
Great work! I will definitely follow up on your website. Some of the clustering results are really remarkable. Have you thought about hierarchal clustering on the embeddings to see if a sensible taxonomy emerges?
@rileydavidjesus5 ай бұрын
What a genius
@miikalewandowski77657 ай бұрын
How does the semantic vectorization of a word look like, in a mathematical sense ? Is it like every word has it’s spatial ID (coordinate) and gets kind of multiplied with a vector array of assoziatives IDs?
Пікірлер: 22
I’m totally new to embeddings and this video inspired me to want learn even more!
This has been a timely and really useful presentation. Thank you for posting it!
These 38 minutes changed my next 38 years
@technicolourmyles
7 ай бұрын
How so? I'm still at the beginning
very great demo, thanks for sharing! this is an excellent example of practical use of embeddings.
Thanks Simon for sharing your knowledge. This video is so underrated.
"vibes-based search" lol. love the term you invented.
That was awesome. Thank you for uploading it!
Things start to become magical.
Great talk. Thoroughly enjoyed it. Thanks!
A nice and very inspiring presentation! Thank you!
Great talk. Very interesting subject.
Brilliant!!! (as always)
Impressive fast talking and fast scrolling. A lot of knowledge and experience for sure. I guess I'll have to do some digging if I want to really benefit from this lecture.
Great work! I will definitely follow up on your website. Some of the clustering results are really remarkable. Have you thought about hierarchal clustering on the embeddings to see if a sensible taxonomy emerges?
What a genius
How does the semantic vectorization of a word look like, in a mathematical sense ? Is it like every word has it’s spatial ID (coordinate) and gets kind of multiplied with a vector array of assoziatives IDs?
damn!!!
Can you show us some Imagebind unix-fu?
Why are you wearing a mask 😷?
@KayButtonJay
4 ай бұрын
Maybe he doesn’t want to get people sick genius