Rotary Position Embeddings for Long Context Length
Rotary Position Embeddings (RoPE) is a technique for encoding token positions in a sequence. It is widely used in many models and works well for standard context lengths. However, it requires adaptation for longer contexts. In this article, you will learn how RoPE is adapted for long context length. Let’s get started. Rotary Position Embeddings…