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Databricks introduces KARL, a custom RL-trained knowledge agent that outperforms frontier models in cost, latency, and quality for enterprise grounded reasoning tasks.
•KARL is trained using reinforcement learning to perform grounded reasoning: searching documents, fact-finding, cross-referencing, and reasoning over dozens to hundreds of steps
•It matches the performance of top proprietary models at a fraction of the serving cost, trained with only a few thousand GPU hours and entirely synthetic data
•Grounded reasoning tasks are hard-to-verify (no single correct answer), making RL-based training especially challenging
•In internal human testing, KARL provided better and more comprehensive responses than existing products and frontier models
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Databricks is making the same RL pipeline available to customers via a Custom RL private preview backed by Serverless GPU Compute
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Databricks
Google Cloud
Stripe