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

A new technology advance has led to the introduction of new actuators that combine motor, drive, gearing, and feedback into a single CANopen device that relieves much of the burden of traditional ...

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Preparing for a crisis takes the same level of precision as an actor getting ready for the Oscars. While most people assume a few cases of bottled water are enough when disaster strikes, anyone who ...

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.