RoPE (Rotary positional embeddings) explained: The positional workhorse of modern LLMs
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RoPE (Rotary positional embeddings) explained: The positional workhorse of modern LLMs
Unlike sinusoidal embeddings, RoPE are well behaved and more resilient to predictions exceeding the training sequence length. Modern LLMs have already steered away from sinusoidal embeddings for better alternatives like RoPE. Stay with me in the video and learn about what's wrong with sinusoidal embeddings, the intuition or RoPE and how RoPE ...
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