Can we change an AI model's architecture without retraining it from scratch?

Published 14 October 2026

Priming repurposes pretrained Transformer weights to create more efficient architectures at less than 1% of the original training cost, with throughput gains of up to 2x. The method enables faster, more systematic exploration of model designs.