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Predicting drug synergy for novel compounds just got a whole lot better with a new GraphLLM that bridges the gap between molecular structure and semantic understanding.
LLMs can be sped up by 21% at inference time without retraining, thanks to a new sparsity method that smartly prunes activations based on the importance of the weights they interact with.
