What if your AI’s memory didn’t have to balloon with every extra sentence? University of Oxford, Technion, AITHYRA, and NVIDIA introduce KV-Compression Aware Training (KV-CAT) — a method that forces transformers to learn more compressible key-value caches during training, not
KV-CAT: Training Transformers for Compressible Key-Value Caches
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