How Transformers Work - Attention Explained Step by Step | Chapter 06
Summary
The video explains the Transformer architecture, detailing how it processes text input through tokenization, embedding, and a stack of Transformer blocks to generate the next token. It breaks down the attention mechanism, multi-head attention, and feed-forward layers within a Transformer block, highlighting the differences between encoders and decoders.
Summary generated by brickster.ai from the video transcript.
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