LLM Static Embeddings Explained: When Words Become Numbers and Meaning Still Survives!

How language becomes geometry - without losing meaning In the last post, we built the first foundation: Text → Tokens → Numbers → (lots of math) → Tokens → Text We said: tokens are the pieces embeddings are the numbers That is the right starting point. But if you sat with that idea for even a minute, a deeper question naturally appears: Once words become numbers, why does meaning not disappear? If the word cat becomes something like: [0.21, -0.84, 0.67.