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Introduction: The Opaque Mind of the Machine: From Black Boxes to Mechanistic Understanding The advent of large language models (LLMs) built upon the transformer architecture represents a watershed moment in Read More …
The Brain as a Network: Foundational Principles of Connectomics The quest to understand the human mind is inextricably linked to the challenge of deciphering the brain’s staggering complexity. For centuries, Read More …
Section 1: Foundational Principles: From Recurrence to Parallel Attention The advent of the Transformer architecture in 2017 marked a watershed moment in the field of deep learning, particularly for sequence Read More …