#kv-cache

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#multi-head-latent-attention #low-rank-projection #rope #grouped-query-attention #llm-inference
Python
fromPyImageSearch
1 month ago

KV Cache Optimization via Multi-Head Latent Attention - PyImageSearch

Multi-head Latent Attention compresses per-head KV tensors into shared low-rank latents, cutting KV cache memory and compute while preserving attention quality.
Python
fromPyImageSearch
1 month ago

Introduction to KV Cache Optimization Using Grouped Query Attention - PyImageSearch

Grouped Query Attention reduces KV cache memory by letting multiple query heads share fewer KV heads, lowering memory use with minimal accuracy loss.
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