May 23, 2024, noon | code_your_own_AI

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ROPE - Rotary Position Embedding explained in simple terms for calculating the self attention in Transformers with a relative position encoding for extended Context lengths of LLMs.

All rights w/ authors:
ROFORMER: ENHANCED TRANSFORMER WITH ROTARY POSITION EMBEDDING (RoPE)
https://arxiv.org/pdf/2104.09864

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attention authors context embedding encoding explained llms rights rope simple terms transformer transformers

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