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?