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

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.

Audience analysis is the assessment and identification of interests, attitudes, preferences, behaviors, demographics, needs, and other data points of a particular group. In a business setting, ...