MatFormer: The Universal Elastic Transformer Capable to Generate Submodels With Zero Extra Training Costs | Synced
In a new paper MatFormer: Nested Transformer for Elastic Inference, a research team proposes MatFormer, a Transformer architecture that is inherently designed for elasticity, enables the training o...
Source: Synced | AI Technology & Industry Review
In a new paper MatFormer: Nested Transformer for Elastic Inference, a research team proposes MatFormer, a Transformer architecture that is inherently designed for elasticity, enables the training of a single universal model capable of generating numerous smaller submodels without the need for additional training.