Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Researchers introduced Engram, a module that adds conditional memory to Transformers to enable efficient knowledge lookup as an alternative to standard Mixture-of-Experts scaling.

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