Cross Attention Made Easy | Decoder Learns from Encoder

Build AI with Sandeep · Beginner ·🧠 Large Language Models ·3mo ago
In this video, we explain Cross Attention in Transformers step by step using simple language and clear matrix shapes. You will learn: • Why cross attention is required in the transformer decoder • Difference between masked self-attention and cross-attention • How Query, Key, and Value are created • Why Query comes from the decoder and Key and Value come from the encoder • Matrix shapes used in cross-attention (4×3 and 3×3) • How Q × Kᵀ works with an easy intuitive explanation • Softmax explained with a simple numeric example • How attention weights multiply with the Value matrix • Why cross-a…
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