Positional Encoding — How Transformers Learn Word Order | Visual AI

About this lesson

See how sine and cosine waves inject order into Transformer embeddings — so the same word in different positions becomes a different vector. 🎯 What you'll see: • The problem: embeddings alone have no notion of position • Sine and cosine waves per dimension • PE formula: sin(pos/10000^(2i/d)) and cos(...) • Positions as geometric rotations in high dimensions • Hero: "apple" fruit vs "Apple" tech giant — positional shifts let attention distinguish context Visual-first: waves, rotations, and vector shifts. 🔗 More at: https://8gwifi.org/math #positionalencoding #transformers #attention #ChatGPT #AI #LLM #NLP #mathematics #education

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