In part two of our Transformer mini-series, we peel back the layers to uncover the mechanics that make Transformers the rock stars of the AI world. Think of this episode as your backstage pass to understanding how these models operate. We’ll break down the self-attention mechanism, comparing it to having superhuman hearing at a party, and explore the power of multi-head attention, likened to having multiple sets of ears tuned to different conversations. We also delve into the rigorous training process of Transformers, from the use of GPUs and TPUs to optimization strategies. 

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