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Google Proposes Memory Caching to Extend RNN Long-Context Handling

/2 Google gives RNNs growing memory so they can handle longer inputs without large compute increases. Google Research proposes Memory Caching (MC), a method that extends RNNs with memory that grows over time. Transformers solve long-context tasks using KV-cache but require

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