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.

GPT-5.4 is also more reliable, producing 18% fewer errors and 33% fewer false claims than GPT-5.2, according to OpenAI.

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

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Le Ky Nam, an eighth-grade student in Hanoi, brought home a bronze medal from the International Artificial Intelligence Olympiad 2026, competing against students from leading technology nations.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Over the past few weeks, I’ve received hundreds of messages from professionals across the Caribbean asking the same question: ...