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A novel method for personalizing on-device large language models by training a hypernetwork to map a user's context tokens to a low-rank adaptation well-suited to that user well-suited to that user is presented.
Mixture of Training is introduced, a scaffolded modular pre-training procedure that partitions a target Transformer into contiguous layer blocks, trains each block inside a frozen pretrained aligner scaffold, and then recomposes the trained blocks with an optional short end-to-end adaptation pass to study whether scaff...
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