Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

The generalization performance of deep neural networks (DNNs) is a critical factor in achieving robust model behavior on unseen data. Recent studies have highlighted the importance of sharpness-based ...

Abstract: Existing domain generalization methods for hyper-spectral image (HSI) classification face challenges related to negative transfer risks and a lack of dynamic adaptation mechanisms. To ...