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How Rotary Position Embedding Supercharges Modern LLMs [RoPE]
Positional information is critical in transformers' understanding of sequences and their ability to generalize beyond training context length. In this video, we discuss - 1) Why attention mechanism in transformers is not sufficient - 2) Earlier attempt for injecting positional information (e.g., sinusoidal positional encoding) - 3) Rotary ...
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