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

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Four-legged robots that scramble up stairs, stride over rubble, and stream inspection data — no preorder, no lab coat required.

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

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A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...