Imagine a globe where every word, document, picture, or song is a place. "Motorcycle" is right next to "bicycle", a little bit further from "truck" and quite far from "butterfly". This article intuitively explains what embeddings are and what you can do with them.

A deep dive, explained in plain language, into why large language models are limited by design and unlikely to ever achieve artificial general intelligence.