Embeddings Explained: How AI Turns Meaning Into Numbers
This story is from 2026-09-19. It is preserved in the archive; the latest stories are on the live feed.
In the previous post, we looked at tokens — the units language models use to process text. But tokens alone don't carry meaning. To a model, they're just IDs. That's where embeddings come in. Embeddings are one of the most important ideas in modern AI. They power semantic search, RAG systems, recom…
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- 2026-09-19 09:25 · DEV Community — Machine Learning
Embeddings Explained: How AI Turns Meaning Into Numbers