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From Words to Attention: The Full Story of How AI Learned to Represent Language (Summary)
A single throughline connects one-hot encoding, word2vec, fastText, and the attention mechanism inside every modern LLM — each one solving the exact problem the last one left behind. Here’s the…
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Dense Word Embeddings Explained: From Co-occurrence Matrices to word2vec (Episode 00.03)
The last episode 00.02 left a real problem on the table: co-occurrence vectors give words meaningful, graded similarity — but they’re the same size as the vocabulary, mostly zeros, and…
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