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New Databricks KARL RAG Agent Promises 33% Cost Reduction vs. Claude Opus 4.6

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

Apple's M5 Max Chip Achieves a New Record in First Benchmark Result

The first Geekbench 6 result for a 16-inch MacBook Pro with the M5 Max chip surfaced today, and Apple has achieved ...

Databricks built a RAG agent it says can handle every kind of enterprise search

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