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PEFT can enable the creation of millions of personalized models, each with unique adaptations, leveraging the power of trillion-parameter foundation models.
VecFormer slashes the computational cost of graph transformers while boosting out-of-distribution generalization by operating attention on quantized "graph tokens" instead of individual nodes.
