That’s like saying the magic of a model is its predictions. The magic is really the process of gathering data, cleaning it, creating a model architecture, and meaningful objective function for the model that creates the embeddings.
Embeddings themselves aren’t new. It’s how they’re being trained - and the incredible scale - that’s new.
AI allowing the pairing of 'ideas' and appropriate tools without the need to dive into surrouding details for task at hand. aka telepresence/tricorers/ etc. [0][1][2][3][4]
3 comments
[ 3.8 ms ] story [ 20.7 ms ] threadEmbeddings themselves aren’t new. It’s how they’re being trained - and the incredible scale - that’s new.
[0] : https://www.tricorderproject.org/
[1] : https://www.youtube.com/watch?v=4Uwbq9e9Ftw
[2] : https://www.unit-led.com/mandalorian-led-wall
[3] : with 3d printer, https://www.youtube.com/watch?v=aRIVSDzVzlE
[4] : https://www.startrek.com/news/10-cutting-edge-real-world-sta...