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A document titled 'Deep Learning Foundations, Architectures & Engineering Practice' is shared, likely covering fundamental concepts, architectures, and practical engineering aspects of deep learning.
This article presents a repository that systematically gathers and benchmarks 35 AI agent architectures, helping developers choose effective control structures for production systems.
A comprehensive survey of world models that provides a multi-axis taxonomy covering architectures, methodologies, reasoning strategies, and applications across AI domains, including key systems like Dreamer, MuZero, and Sora.
CogScale is a benchmark of 14 scalable synthetic tasks designed to isolate and evaluate cognitive and memory abilities in sequence processing models. It provides a lightweight framework for rapid architectural validation and includes evaluations of seven architectures under strict parameter budgets.