Part 4/11:
To probe this phenomenon, a team of researchers from Princeton and Google DeepMind established a mathematical framework. They initially turned to neural scaling laws for insights and then conceptualized a random graph model comprising two types of nodes: segments of text and language skills. The connections, or edges, in this bipartite graph represent the necessary skills to decode particular text segments.