Comment by pyinstallwoes

2 years ago

What you described was the vector space utility and mathematics which is the result of encoding it into a dimensional space (latent?).

SOTA LLM use vector space dimensional embeddings in order to utilize a coordinate based intelligence “for free” with a vector space prediction mechanism on the index of context.

Thanks, but can you clarify which confusion in my comment you're untangling there?