#tensor-product-attention

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#kv-cache-optimization #rotary-positional-embeddings-rope #tensor-decomposition
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fromPyImageSearch
1 week ago

KV Cache Optimization via Tensor Product Attention - PyImageSearch

Tensor Product Attention factorizes Q, K, V via tensor decompositions to create low-rank contextual components, dramatically reducing KV cache and preserving RoPE positional awareness.
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