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

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.

Module 2: Multi Head Attention & Positional Encodings

The AI Concepts Podcast is my attempt to turn the complex world of artificial intelligence into bite-sized, easy-to-digest episodes. Imagine a space where you can pick any AI topic and immediately grasp it, like flipping through an Audio Lexicon - but even better! Using vivid analogies and storytelling, I guide you through intricate ideas, helping you create mental images that stick. Whether you’re a tech enthusiast, business leader, technologist or just curious, my episodes bridge the gap between cutting-edge AI and everyday understanding. Dive in and let your imagination bring these concepts to life!

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Module 2: Multi Head Attention & Positional Encodings

Module 2: Multi Head Attention & Positional Encodings