Wednesday
Room 5
10:30 - 12:30
(UTC+01)
2 hours
So what are vector embeddings, and how can you use them?
Vector embeddings are the backbone of any GenAI application, so how do they work? How can gargantuan lists of numbers allow AI apps to perform their magic? How can these lists encode semantic meaning? How can you use them in your projects? It feels like we can't continue to ignore them. Yes, there is some math; and no, it's not much; and yes, you can understand it.
Join to learn how vector embeddings are generated and how they relate to natural-language content, and to see how they can be used to query the Internet Movie DataBase via a graph database.
Stefano Ottolenghi
I love technology, science, and math, and also writing, classical music, light, and movement. I mostly write rants, but since I have not been able to turn that into a paid job, I also write code and technical documentation. I started developing in middle school to automate my math homework, and never stopped ever since. My knack for teaching eventually got me into writing clear and pedagogical documentation for developers.