Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Abstract: Implementing error correcting codes is a challenging problem in information theory and the search for optimal codes, those of maximum size, has been the ...
Abstract: Neural architecture search (NAS) automates neural network design, improving efficiency over manual approaches. However, efficiently discovering high-performance neural network architectures ...