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Module 2: Multi Head Attention & Positional Encodings

9 min•5 januari 2026

Shay explains multi-head attention and positional encodings: how transformers run multiple parallel attention 'heads' that specialize, why we concatenate their outputs, and how positional encodings reintroduce word order into parallel processing.

The episode uses clear analogies (lawyer, engineer, accountant), highlights GPU efficiency, and previews the next episode on encoder vs decoder architectures.

Fler avsnitt av The AI Concepts Podcast

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The AI Concepts Podcast med Sheetal ’Shay’ Dhar finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.