dailyai.report

LARQL treats neural network weights as a graph database to enable structured querying of model parameters. This approach allows researchers to isolate specific weight patterns without manual tensor slicing. It simplifies the analysis of internal model states. Practitioners can now audit weight distributions using a familiar query language instead of writing custom Python scripts.