Positional Encoding in Transformers: The Visual Guide (Theory Explained)
Автор: Sharing What I'm Learning
Загружено: 2026-02-07
Просмотров: 8
Описание:
Transformers process entire sentences in parallel, giving them incredible speed. But this speed comes with a major flaw: The "Blind Spot." Without help, a Transformer cannot tell the difference between "The cat ate" and "Ate cat the."
In this video, we dive deep into the theory of Positional Encoding—the elegant mathematical trick that gives order to chaos. We move beyond complex derivations (saving those for Part 2!) and focus on the intuition behind the mechanism. We explain why naive numbering fails, how high-dimensional vectors work, and the beautiful logic behind using Sinusoidal waves.
In this video, you will learn:
• Why Transformers suffer from "Permutation Invariance".
• The 4 criteria for a perfect indexing system (Unique, Deterministic, Bounded, Extrapolatable).
• Why simple integers causes gradient explosion and fractions cause inconsistent steps.
• The intuition behind the "Multi-Handed Clock" and "Continuous Binary Counter".
• How the famous "Heatmap" visualization actually works.
#PositionalEncoding #Transformers #DeepLearning #NLP #AttentionIsAllYouNeed #MachineLearningTheory
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