Stanford U & Google’s Convex Analytic Training Framework Improves the Understanding and Optimization of Transformers | Synced

In the new paper Convexifying Transformers: Improving Optimization and Understanding of Transformer Networks, a Stanford University and Google Research team provides a solid theoretical analysis of transformers’ fundamental mechanisms and introduces a novel convex analytic training framework for improving their optimization.