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The transformer architecture revolutionized the world of Neural Networks. It was a springboard for what we know today as modern artificial intelligence. This podcast focuses on modern state of the art research paper reviews starting from the transformer and on.

While we take AI for granted now, it's easy to forget it's unique history and haphazard advances. This reviews the principal concepts under which modern neural networks have built upon since the earliest known related papers.

The art of looking into a model and understanding what is going on through introspection is referred to AX.