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Implement Rotary Positional Embeddings (RoPE) is a medium coding interview question covering deep learning, nlp, math — the kind asked at FAANG (Facebook/Meta, Apple, Amazon, Netflix, Google) and AI-first companies like Anthropic, OpenAI, and Nvidia.
Implement RoPE, the positional encoding used by Llama and most modern open LLMs: given a query or key vector and its token position, rotate each consecutive (even, odd) pair of dimensions by an angle proportional to the position, with per-pair frequencies forming a geometric progression.
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