Category Archives: Machine Learning

Visualization Method: Potential Benefits for Transfer Learning

  Introduction Artificial intelligence (AI) has evolved along two distinct paths: symbolic AI and numeric AI. In this blog post, we explore a novel approach to understanding transformer models, which are primarily numeric and data-driven, through the lens of Feynman diagrams, a symbolic representation used in quantum field theory. Our goal is to bridge the […]