bryantwolf

6 ms·

31.
Inspiration for embedding based mechanics for games and apps(bawolf.substack.com)
9 points by bryantwolf 2y ago|0 comments
32.
by bryantwolf 2y ago
I've been using Destucture [1] for a few years. It's an interesting compromise that works for atom and string keys because it's explicit, kind of like the sigil approach. Though this seems way more streamlined, especially as
33.
by bryantwolf 2y ago
Hybrid searches are great, though I'm not sure they would help here. Neither 'crown' nor 'ruler' would come back from a text search for 'king,' right? I bet if we put a better description into the embeddin
34.
by bryantwolf 2y ago
You'd have to update the embedding every time the data used to generate it changes. For example, if you had an embedding for user profiles and they updated their bio, you would want to make a new embedding. I don't expect to have
35.
by bryantwolf 2y ago
I love it!
36.
by bryantwolf 2y ago
Yeah, these can be cute, but they're not ideal. I think the user feedback mechanism could help naturally align this over time, but it would also be gameable. It's all interesting stuff
37.
by bryantwolf 2y ago
As an individual, I love the idea of pushing to simplify even further to understand these core concepts. For the ecosystem, I like that vector stores make these features accessible to environments outside of Python.
38.
by bryantwolf 2y ago
This is a good call out. OpenAI embeddings were simple to stand up, pretty good, cheap at this scale, and accessible to everyone. I think that makes them a good starting point for many people. That said, they're closed-source, and ther
39.
Embeddings are a good starting point for the AI curious app developer(bawolf.substack.com)
675 points by bryantwolf 2y ago|174 comments