Embeddings in AI: “The location within the space represents the semantic meaning of the content, according to the embedding model’s weird, mostly incomprehensible understanding of the world.”

Link. We communicate with the Oracle by sending a matrix incantation.

“if I want to find related articles for a given article, I can calculate the cosine similarity between the embedding vector for that article and every other article in the database, then return the 10 closest matches by distance.”