Thank you Simon Wilson. Great information. I especially like how you demonstrated the development of your own tools. Finally my thoughts is your presentation in an executive summary format will educate policy makers in both the enterprise and government sector who seem to have fear of AI. For example my company has an existing early policy that employees are not allowed to use AI or ChatGPT. At the same time my Use Case to leverage RAG was to augment our LLM was accepted by our AI Review Committee. My thought is the enterprise companies will be careful and prudent in the rollout of LLMs and AI tools because they will want “security rails” in place. Thank you.
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?
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?
These 38 minutes changed my next 38 years
How so? I'm still at the beginning
This is the best fundamental way of describing embeddings.
This has been a timely and really useful presentation. Thank you for posting it!
"vibes-based search" lol. love the term you invented.
Thank you Simon Wilson. Great information. I especially like how you demonstrated the development of your own tools. Finally my thoughts is your presentation in an executive summary format will educate policy makers in both the enterprise and government sector who seem to have fear of AI. For example my company has an existing early policy that employees are not allowed to use AI or ChatGPT. At the same time my Use Case to leverage RAG was to augment our LLM was accepted by our AI Review Committee. My thought is the enterprise companies will be careful and prudent in the rollout of LLMs and AI tools because they will want “security rails” in place. Thank you.
Thanks Simon for sharing your knowledge. This video is so underrated.
Thank you for sharing.
very great demo, thanks for sharing!
this is an excellent example of practical use of embeddings.
I’m totally new to embeddings and this video inspired me to want learn even more!
Great talk. Thoroughly enjoyed it. Thanks!
That was awesome. Thank you for uploading it!
A nice and very inspiring presentation! Thank you!
Thank you .
Thank you, very informative
Things start to become magical.
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 talk. Very interesting subject.
Brilliant!!! (as always)
This man is truly based.
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?
This is what microsoft recall wants to do
damn!!!
Can you show us some Imagebind unix-fu?
Mask, in 2023...
Why are you wearing a mask 😷?
Maybe he doesn’t want to get people sick genius
@@KayButtonJay he wouldn't if he didn't wear a mask either.