Rotary Positional Embedding
Rotary Positional Embedding (RoPE) is a technique for injecting token position information into transformer attention by rotating query and key vectors in multi-dimensional space by an angle proportional to their position, encoding relative position directly into the dot-product attention computation.
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Glossary Terms(5)
Sparse Attention
Sparse attention is a family of transformer attention mechanisms that restrict each token to attending only to a subset of other tokens, rather than the full s…
Flash Attention
FlashAttention is an IO-aware exact attention algorithm that reorders and fuses the computation of transformer self-attention to minimize reads and writes to G…
Rotary Positional Embedding
Rotary Positional Embedding (RoPE) is a technique for injecting token position information into transformer attention by rotating query and key vectors in mult…
KV Cache
The KV cache (key-value cache) is a memory structure used during autoregressive transformer inference that stores the key and value projections of previously p…
Grouped Query Attention
Grouped Query Attention (GQA) is a transformer attention variant in which multiple query heads share a single set of key and value heads, reducing the size of…