How an embedding model turns a sentence, a photo or a sound clip into one list of numbers, explained plainly
Most of what I could find on embeddings stops at the RAG plumbing: chunk your documents, embed them, store the vectors, compare by cosine similarity. I wanted something that explains what happens inside the model itself, so I wrote it up. It walks through the mechanism with examples small enough to…
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- 2026-10-10 12:15 · r/machinelearningnews
How an embedding model turns a sentence, a photo or a sound clip into one list of numbers, explained plainly