Hierarchical Reasoning Model

The Hierarchical Reasoning Model (HRM) is an AI architecture inspired by the human brain that demonstrates remarkable reasoning abilities with just 27 million parameters. It utilizes two interconnected recurrent modules to perform both abstract planning and precise calculations.

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Hierarchical Dual-Module System ArchitectureIt features two coupled recurrent modules that operate at different time scales: a high-level module for slow, abstract planning and a low-level module for fast, detailed computations.
Minimum Training StandardsUtilizes exceptional performance with just 1,000 training samples, avoiding the need for pre-training or Chain-of-Thought data.
Effective Utilization of ParametersPerforms intricate reasoning tasks using only 27 million parameters, substantially less than typical large language models.
Processing with a Single Forward PassPerforms sequential reasoning tasks in a single forward pass without requiring explicit supervision of intermediate steps.