The pursuit of Artificial General Intelligence (AGI) has led to substantial research in the field of neural network architectures, which are pivotal in bridging the gap between specialized artificial intelligence systems and human-like cognition. Foundational efforts laid the groundwork by introducing scalable neural architectures capable of learning from diverse data sources. Recent advancements have focused on optimizing architectures for increased adaptability and efficiency, such as Trans...