dailyai.report

LARQL treats neural network weights as a graph database to enable complex structural queries. This approach allows researchers to isolate specific weight patterns without manual tensor slicing. By mapping weights to graph nodes, it simplifies the analysis of model internals. Practitioners can now audit weight distributions using a familiar query language instead of raw Python.