dailyai.report

LARQL treats neural network weights as a graph database to enable structured querying of model internals. This tool allows researchers to isolate specific weight patterns without manual tensor slicing. It simplifies the process of auditing model parameters. Practitioners can now use graph-based logic to analyze how LLMs store specific knowledge fragments.