Tools7h ago
LARQL Queries Neural Network Weights As Graphs
LARQL treats neural network weights as a graph database to enable complex structural queries. This approach lets researchers pinpoint specific weight patterns without manual tensor slicing. It simplifies the analysis of model internals. Practitioners can now audit weight distributions using a query language rather than writing custom Python scripts for every inspection.