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We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self-attention, and how Transformers handle sequential data. We will see the limitations of RNNs, and why Transformers are so powerful. This is a ...
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