This Machine Learning Research Introduces Mechanistic Architecture Design (Mad) Pipeline: Encompassing Small-Scale Capability Unit Tests Predictive of Scaling Laws

Creating deep learning architectures requires a lot of resources because it involves a large design space, lengthy prototyping periods, and expensive computations related to at-scale model training and evaluation. Architectural improvements are achieved through an opaque development process guided by heuristics and individual experience rather than systematic procedures. This is due to the combinatorial explosion […]

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