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Venkat Maddineni
Word Embeddings Explained: How AI Understands Meaning
Before a language model can "understand" anything, it has to turn words into numbers. That's the job of the embedding layer — the very first step inside every LLM. In this visual deep-dive, we open it up and show exactly how text becomes vectors that capture meaning. We go from tokenization, to the embedding matrix (a giant lookup table), to ...
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