Tools5h ago
LARQL Treats Neural Weights As Graph Data
LARQL introduces a query language designed to treat neural network weights like a graph database. It allows developers to perform structured searches across model parameters instead of relying on raw tensor indexing. This approach simplifies weight analysis for researchers. It remains a niche utility for those debugging complex model architectures manually.