📚 MIT Researchers Introduce LiGO: A New Technique that Accelerates Training of Large Machine-Learning Models, Reducing the Monetary and Environmental Cost of Developing AI Applications

The transformer architecture has become a go-to choice for representing various domain structures. The empirical inductive biases of the transformer make it a good candidate for scaling. This paves the way for the periodic training and release of expanded versions of existing, smaller models. Although often a scaled-up version of their smaller counterparts, new instances […]

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