Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

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

Google has removed a whole section from its JavaScript SEO documentation because it was outdated and Google says loading content with JavaScript does not make it hard for Google Search.

Abstract: This work tackles an integrated order batching, picker assignment, batch sequencing, and picker routing problem in warehouse environments. A Learning-Aided Iterated Local Search (LILS) is ...

AI recommendations are decided upstream. Understand the 10-gate pipeline, where brands fail, and how small improvements ...