Tools2h ago
LARQL Treats Neural Weights As Graph Data
The LARQL project introduces a query language designed to treat neural network weights as a graph database. This approach allows developers to programmatically inspect model internals without manual tensor slicing. It simplifies the process of auditing specific weight relationships. Practitioners can now extract structural patterns from complex models using familiar query syntax.