Topic 6: The Core Engine
Автор: Study AI
Загружено: 2026-02-21
Просмотров: 11
Описание: In this video, we dive into the underlying concepts of Transformer models by breaking down their core engine: Self-Attention. We'll explore the math behind the mechanism, explaining exactly how Queries, Keys, and Values (Q, K, V) interact to calculate attention scores using the dot product. If you want to understand how these architectures actually work from the ground up, this mathematical breakdown will make the self-attention mechanism clear and accessible.
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