To understand why TriAttention is important, it helps to understand the standard approach to KV cache compression. Most existing methods — including SnapKV, H2O, and R-KV — work by estimating which tokens in the KV cache are important and evicting the rest. Importance is typically estimated by looking at attention scores: if a key receives high attention from recent queries, it is considered important and kept.
I mean you just have this powerful new tool coming over the horizon with quantum computing where many of those quadratic functions that were uncomputable before. Now they’re sort of like, yeah great let’s go attack those portions of the problem as well.
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