Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...
IEEE

A Diagnostic Framework for Harmonic Drives Based on Dynamic Graph Data Augmentation and Adaptive Knowledge Distillation for Graphs

Abstract: The operational state of harmonic drives demonstrates nonlinear and nonstationary characteristics, which pose challenges for traditional methods to extract features. Graph neural networks ...

When The Future Isn’t Like The Past: The Dangers Of Model Data Drift In AI-Driven Business Lines

Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...
IEEE

Position-Aware Structural Knowledge Sharing-Based Federated Graph Learning for Intelligent Transportation Systems

Abstract: Federated Graph Learning (FGL) combines the powerful graph data modeling capabilities of Graph Neural Networks (GNNs) with the distributed processing requirements of intelligent ...