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1:18
YouTube
Samvity AI
RoPE in LLMs Explained in 2 Minutes (Rotary Positional Embeddings)
RoPE (Rotary Positional Embeddings) is a key technique used in modern Large Language Models (LLMs) to encode positional information efficiently. In this video, we explain: - What RoPE (Rotary Positional Embeddings) is - Why LLMs need positional embeddings - How RoPE works intuitively - Why RoPE scales better for long context RoPE is used in ...
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