PGM(Procedurally Generated Matrices (PGM))

PGM 数据集用作研究模型中的抽象推理和泛化的工具。泛化是一个多方面的现象；没有一种单一的、客观的方式可以使模型能够或应该超越其经验进行概括。 PGM 数据集提供了一种以不同方式测量模型泛化能力的方法，根据研究人员的预期训练设置和应用，每种方法都可能或多或少地引起研究人员的兴趣。

The PGM dataset is employed as a tool for researching abstract reasoning and generalization in models. Generalization is a multifaceted phenomenon; there is no single, objective manner in which a model can or should generalize beyond its empirical experience. The PGM dataset offers a framework to measure models' generalization abilities through diverse approaches, each of which may hold varying degrees of interest for researchers depending on their targeted training settings and application scenarios.

搜集汇总

背景与挑战

背景概述

PGM数据集是一个用于研究模型抽象推理和泛化能力的工具，由DeepMind于2018年发布，提供多种方式测量模型泛化能力。