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Building a Transformer from Scratch: Part 1 — The Embedding Layer

This story is from 2026-10-10. It is preserved in the archive; the latest stories are on the live feed.

In an autoregressive Transformer such as GPT, the work begins before the attention mechanism processes a single tensor. A model cannot operate on raw text, and integer token IDs carry no semantic structure on their own. The embedding layer bridges this gap by converting discrete token IDs into cont…

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  1. 2026-10-10 11:04 · DEV Community — Machine Learning
    Building a Transformer from Scratch: Part 1 — The Embedding Layer

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